demo_feature_dashboards.html

<div id='dropdown-container'></div>

<div class='grid-container'>
        <div id='column-0' class="grid-column" style='max-height: 750px; '>
        <!-- Feature Info Tables -->
        <div class="feature-tables" id="feature-tables-0"></div></div>
    
    <div id='column-1' class="grid-column" style='max-height: 750px; '>
        <!-- Activation densities histogram -->
        <div class="plotly-hist" id="histogram-acts-0" style="height: 150px; margin-top: 0px;"></div>
        <!-- Logits table -->
        <div class="logits-table" id="logits-table-0"></div>
        <!-- Logits histogram -->
        <div class="plotly-hist" id="histogram-logits-0" style="height: 150px; margin-top: 0px;"></div></div>
    
    <div id='column-2-0' class="grid-column" style='max-height: 750px; '>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-0"></div></div>
    
    <div id='column-2-1' class="grid-column" style='max-height: 750px; '>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-1"></div>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-2"></div>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-3"></div></div>
    
    <div id='column-2-2' class="grid-column" style='max-height: 750px; '>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-4"></div>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-5"></div>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-6"></div></div>
    
    <div id='column-2-3' class="grid-column" style='max-height: 750px; '>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-7"></div>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-8"></div>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-9"></div></div>
    
    <div id='column-2-4' class="grid-column" style='max-height: 750px; '>
        <!-- Sequence group -->
        <div class="seq-group" id="seq-group-2-10"></div></div>
</div>

<style>
/* Styling of the top-level container */
.grid-container {
    font-family: 'system-ui';
    border: 1px solid #e6e6e6;
    background-color: #fff;
    margin: 30px 10px;
    box-shadow: 0 5px 5px rgba(0, 0, 0, 0.25);
    display: grid;
    justify-content: start;
    grid-template-columns: auto;
    overflow-x: auto;
    overflow-y: visible;
    grid-auto-flow: column;
    white-space: nowrap;
    padding-bottom: 12px;
    padding-top: 35px;
    padding-left: 20px;
}
/* Styling each grid column (note, the max-height controls height of grid-container) */
.grid-column {
    margin-left: 20px;
    padding-right: 20px;
    width: max-content;
    overflow-y: auto;
    max-height: 750px;
}
/* Styling the scrollbars */
::-webkit-scrollbar {
    height: 10px;
    width: 10px;
}
::-webkit-scrollbar-track {
    background: #f1f1f1;
}
::-webkit-scrollbar-thumb {
    background: #999;
}
::-webkit-scrollbar-thumb:hover {
    background: #555;
}
/* Margin at the bottom of each histogram */
.plotly-hist {
    margin-bottom: 25px;
}
/* Margins below the titles (most subtitles are h4, except for the prompt-centric view which has h2 titles) */
h4 {
    margin-top: 0px;
    margin-bottom: 10px;
}
/* Some space below the <hr> line in prompt-centric vis */
hr {
    margin-bottom: 35px;
}
/* Default font & appearance for the words in the sequence, before being hovered over */
code {
    font-family: Consolas, Menlo, Monaco;
}
/* Margin at the bottom of every sequence group, plus handle how overflow works (maybe not necessary) */
.seq-group {
    overflow-x: auto;
    overflow-y: visible;
    padding-top: 5px;
    padding-bottom: 10px;
    margin-bottom: 10px;
}
/* Margin between single sequences */
.seq {
    margin-bottom: 11px;
}
/* Styling for each token in a sequence */
.token {
    font-family: Consolas, Menlo, Monaco;
    font-size: 0.9em;
    border-top-left-radius: 3px;
    border-top-right-radius: 3px;
    padding: 1px;
    color: black;
    display: inline;
    white-space: pre-wrap;
}
/* All the messy hovering stuff! */
.hover-text {
    position: relative;
    cursor: pointer;
    display: inline-block; /* Needed to contain the tooltip */
    box-sizing: border-box;
}
.tooltip {
    background-color: #fff;
    color: #333;
    text-align: center;
    border-radius: 10px;
    padding: 5px;
    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.25);
    align-items: center;
    justify-content: center;
    overflow: hidden;
    font-family: 'system-ui';
    font-size: 1.1em;
    display: none;
    position: fixed;
    z-index: 1000;
}
.token:hover {
    border-top: 3px solid black;
}
.tooltip-container {
    position: absolute;
    pointer-events: none;
}
.hover-text:hover + .tooltip-container .tooltip {
    display: block;
}


table {
    border: unset;
    color: black;
    border-collapse: collapse;
    width: -moz-fit-content;
    width: -webkit-fit-content;
    width: fit-content;
    margin-left: auto;
    margin-right: auto;
    font-size: 0.8em;
}
table.table-left tr {
    border-bottom: 1px solid #eee;
    padding: 15px;
}
table.table-left td {
    padding: 3px 4px;
}
table.table-left {
    width: 100%;
}
table.table-left td.left-aligned {
    max-width: 120px;
    overflow-x: hidden;
}
td {
    border: none;
    padding: 2px 4px;
    white-space: nowrap;
}
.right-aligned {
    text-align: right;
}
.left-aligned {
    text-align: left;
}
.center-aligned {
    text-align: center;
    padding-bottom: 8px;
}
table code {
    background-color: #ddd;
    padding: 2px;
    border-radius: 3px;
}
.table-container {
    width: 100%;
}
.half-width-container {
    display: flex;
}
.half-width {
    width: 50%;
    margin-right: -4px;
}

/* Feature tables should have space below them, also they should have a min column width */
div.feature-tables table {
    margin-bottom: 25px;
    min-width: 250px;
}
/* Configure logits table container (i.e. the thing containing the smaller and larger tables) */
div.logits-table {
    min-width: 375px;
    display: flex;
    overflow-x: hidden;
    margin-bottom: 20px;
}
/* Code is always bold in this table (this is just the neg/pos string tokens) */
div.logits-table code {
    font-weight: bold;
}
/* Set width of the tables inside the container (so they can stack horizontally), also put a gap between them */
div.logits-table > div.positive {
    width: 47%;
}
div.logits-table > div.negative {
    width: 47%;
    margin-right: 5%;
}


/* Styling of the dropdowns */
select {
    appearance: none;
    border: 0;
    flex: 1;
    padding: 0 1em;
    background-color: #eee;
    cursor: pointer;
}
.select {
    box-shadow: 0 5px 5px rgba(0, 0, 0, 0.25);
    cursor: pointer;
    display: flex;
    width: 100px;
    height: 25px;
    border-radius: .25em;
    overflow: hidden;
    position: relative;
    margin-right: 15px;
}
.select::after {
    position: absolute;
    content: '\25BC';
    font-size: 9px;
    top: 0;
    right: 0;
    padding: 1em;
    background-color: #ddd;
    transition: .25s all ease;
    pointer-events: none;
}
.select:hover::after {
    color: black;
}
#dropdown-container {
    margin-left: 10px;
    margin-top: 20px;
    display: flex;
    flex-wrap: wrap;
}
</style>

<script src="https://d3js.org/d3.v6.min.js"></script>
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>

<script>

document.addEventListener("DOMContentLoaded", function(event) {
    const ALL_DATA = defineData();
    setupPage(ALL_DATA['DASHBOARD_DATA'], ALL_DATA['AGGDATA']);
});

function setupPage(DASHBOARD_DATA, AGGDATA) {
    // Dynamically creates dropdowns from the data (by parsing its keys), and causes `createVis` to be called whenever
    // the dropdowns change. This includes the initial call to `createVis` with the first key, which is START_KEY.

    const START_KEY = "0";
        // The start key has already been user-defined, we need to check it's present in DASHBOARD_DATA
    if (!Object.keys(DASHBOARD_DATA).includes(START_KEY)) {
        console.error(`No data available for key: ${START_KEY}`);
    }
    const startParts = START_KEY.split('|');
    
    // Function which will measure the width of a key (used for dynamically setting the width of our dropdowns)
    function measureTextWidth(text, font) {
        // Create a temporary span element
        const span = document.createElement("span");
        span.style.visibility = "hidden"; // Make sure it's not visible
        span.style.position = "absolute"; // Take it out of document flow
        span.style.font = font; // Apply font styling similar to the select options
        span.textContent = text;
        document.body.appendChild(span);
        const width = span.offsetWidth; // Get the width of the span
        document.body.removeChild(span); // Remove the span from the body
        return width;
    }
    
    // Check if there's only one key, in which case we have no selection to make
    if (Object.keys(DASHBOARD_DATA).length === 1) {
    
        const onlyKey = Object.keys(DASHBOARD_DATA)[0];
        createVis(DASHBOARD_DATA[onlyKey]);
    
    } else {
    
        // Assuming `DASHBOARD_DATA` is available and d3 has been included
        const parsedKeys = Object.keys(DASHBOARD_DATA).map(key => key.split("|"));
    
        // Determine `n` - the number of dropdowns needed
        const n = parsedKeys[0].length;
    
        // Create a structure to store options for each dropdown
        const options = Array.from({ length: n }, () => new Set());
    
        // Populate options for each dropdown
        parsedKeys.forEach(parts => {
            parts.forEach((part, index) => options[index].add(part));
        });
    
        // Select the container for the dropdowns
        const container = d3.select('#dropdown-container');
    
        // Create the dropdowns
        options.forEach((opts, i) => {
            // We wrap each `select` element in a `.select` div, for styling reasons)
            const selectDiv = container.append('div').attr('class', 'select');
            const selectElem = selectDiv.append('select').attr('id', `select-${i}`);
            let maxWidth = 0;
    
            // Set the title of this dropdown
            
    
            opts.forEach(opt => {
                // Add this as an option
                const optionElem = selectElem.append('option').text(opt).attr('value', opt);
    
                // If it matches the start key, set it to true
                if (startParts[i] === opt) {
                    optionElem.attr('selected', true);
                }
    
                // Calculate the width of this option, and possibly update the max width (for the select div)
                const width = measureTextWidth(opt, "1em system-ui");
                if (width > maxWidth) {
                    maxWidth = width;
                }
            });
    
            // Set the width of the select div to the max width + 45px (for the dropdown arrow)
            selectDiv.style('width', `${maxWidth + 45}px`);
    
            // Add event listener to update the visualization (and the selection options) when the dropdown changes
            selectElem.on('change', function() {
                updateDropdowns();
            });
        });
    
        // This gets called every time the dropdowns are updated
        function updateDropdowns() {
    
            // Empty all grid-column elements
            d3.selectAll(".grid-column").each(function() {
                d3.select(this).selectAll("*").html(""); 
            });
    
            // Get the current value of each dropdown
            const currentSelections = options.map((_, i) => d3.select(`#select-${i}`).property('value'));
    
            // Disable options that are not available based on the current selections
            options.forEach((opts, i) => {
                const select = d3.select(`#select-${i}`);
                select.selectAll('option').each(function() {
                    const optionValue = d3.select(this).attr('value');
                    const potentialKey = [...currentSelections.slice(0, i), optionValue, ...currentSelections.slice(i + 1)].join('|');
                    d3.select(this).attr('disabled', !DASHBOARD_DATA.hasOwnProperty(potentialKey) ? true : null);
                });
            });
    
            // Parse these options into the key for our DASHBOARD_DATA object
            const selectedKey = currentSelections.join('|');
    
            // Create vis using that data
            createVis(DASHBOARD_DATA[selectedKey]);
        }
    
        // Initial trigger
        updateDropdowns();
    }
}

function createVis(DATA) {
    // Create the vis from the data (this is where all the JavaScript files in this repo get dumped into). The DATA
    // object here will be DASHBOARD_DATA["8"] in the feature-centric vis, or DASHBOARD_DATA["act_quantile|'first' (6)"]
    // in the prompt-centric vis).

        // ! Using `DATA.actsHistogramData` to fill in the activations histogram
    
    function createActsLine(color, width, height) {
        return {
            type: 'line', line: {color: color, width: width},
            x0: 0, x1: 0, xref: 'x',
            y0: 0, y1: height, yref: 'paper',
            visible: false,
        }
    }
    
    function createActsAnnotation() {
        return {
            text: '', showarrow: false,
            x: 0, xref: 'x', 
            y: 0.9, yref: 'paper',
            xshift: 3, align: 'left', xanchor: 'left',
            visible: false,
        }
    }
    
    function setupActsHistogram(histId, histData) {
    
        // Create layout. This has 2 lines with annotations, both initially set to invisible (first is for dynamic on-hover
        // and second is for static, for the prompt-centric vis). We need to define them both so that when JavaScript alters
        // 'shapes[0]' or 'shapes[1]' we get no error
        var layout = {
            paper_bgcolor: 'white',
            plot_bgcolor: 'white',
            xaxis: {
                gridcolor: '#eee',
                zerolinecolor: '#eee',
                tickvals: histData.ticks,
                range: [0, 1.2 * Math.max(...histData.x)],
            },
            yaxis: {gridcolor: '#eee', zerolinecolor: '#eee'},
            barmode: 'relative',
            bargap: 0.01,
            showlegend: false,
            margin: {l: 50, r: 25, b: 25, t: 25, pad: 4},
            paper_bgcolor: 'rgba(0,0,0,0)',
            plot_bgcolor: 'rgba(0,0,0,0)',
            responsive: true,
            shapes: [createActsLine('black', 2, 1.0), createActsLine('black', 1, 0.9)],
            annotations: [createActsAnnotation(), createActsAnnotation()],
        };
    
        // Create traces (this is simple)
        var traces = [{
            x: histData.x,
            y: histData.y,
            type: 'bar',
            marker: {color: histData.colors},
        }];
    
        // Plot the histogram
        Plotly.newPlot(histId, traces, layout, {responsive: true, displayModeBar: false});
    
        // Maybe add title (if the title already existed then we update it, otherwise we create a new one)
        if(histData.title) {
            var histogramElement = document.getElementById(histId);
            var existingTitleElement = histogramElement.previousSibling;
            if (existingTitleElement && existingTitleElement.tagName === 'H4') {
                existingTitleElement.innerHTML = histData.title;
            } else {
                var titleElement = document.createElement('h4');
                titleElement.innerHTML = histData.title;
                histogramElement.parentNode.insertBefore(titleElement, histogramElement);
            }
        }
    }
    
    // 'actsHistogramData' is a dictionary mapping suffixes to histogram data (to make each histogram unique)
    // We iterate over it, and create a histogram for each one
    Object.entries(DATA.actsHistogramData).forEach(([suffix, histData]) => {
        var t0 = performance.now();
    
        histId = `histogram-acts-${suffix}`;
        setupActsHistogram(histId, histData);
    
        var t1 = performance.now();
        console.log(`HTML for ${histId} generated in ${(t1 - t0).toFixed(1)} ms`);
    });
    
    
    
    
    // ! Using `DATA.logitsHistogramData` to fill in the feature tables
    
    function createLogitsLine(color, width, height) {
        return {
            type: 'line', line: {color: color, width: width},
            x0: 0, x1: 0, xref: 'x',
            y0: 0, y1: height, yref: 'paper',
            visible: false,
        }
    }
    
    function createLogitsAnnotation() {
        return {
            text: '', showarrow: false,
            x: 0, xref: 'x', 
            y: 0.9, yref: 'paper',
            xshift: 3, align: 'left', xanchor: 'left',
            visible: false,
        }
    }
    
    function setupLogitsHistogram(histId, histData) {
    
        // Create layout. This has 2 lines with annotations, both initially set to invisible (first is for dynamic on-hover
        // and second is for static, for the prompt-centric vis). We need to define them both so that when JavaScript
        // alters 'shapes[0]' or 'shapes[1]' we get no error
        var layout = {
            paper_bgcolor: 'white',
            plot_bgcolor: 'white',
            xaxis: {
                gridcolor: '#eee',
                zerolinecolor: '#eee',
                tickvals: histData.ticks,
                range: [1.2 * Math.min(...histData.x), 1.2 * Math.max(...histData.x)],
            },
            yaxis: {gridcolor: '#eee', zerolinecolor: '#eee'},
            barmode: 'relative',
            bargap: 0.01,
            showlegend: false,
            margin: {l: 50, r: 25, b: 25, t: 25, pad: 4},
            paper_bgcolor: 'rgba(0,0,0,0)',
            plot_bgcolor: 'rgba(0,0,0,0)',
            responsive: true,
            shapes: [createActsLine('black', 2, 1.0), createActsLine('black', 1, 0.9)],
            annotations: [createLogitsAnnotation(), createLogitsAnnotation()],
        };
    
        // Create traces. This is a bit messier than for acts_histogram_script.js, because we have 2 different colors
        traces = [
            {
                x: histData.x.filter(value => value >= 0),
                y: histData.y.filter((_, i) => histData.x[i] >= 0),
                type: 'bar',
                marker: {color: 'rgba(0,0,255,0.5)'}
            },
            {
                x: histData.x.filter(value => value < 0),
                y: histData.y.filter((_, i) => histData.x[i] < 0),
                type: 'bar',
                marker: {color: 'rgba(255,0,0,0.5)'}
            }
        ];
    
        // Plot the histogram
        Plotly.newPlot(histId, traces, layout, {responsive: true, displayModeBar: false});
    
        // Maybe add title (if the title already existed then we update it, otherwise we create a new one)
        if(histData.title) {
            var histogramElement = document.getElementById(histId);
            var existingTitleElement = histogramElement.previousSibling;
            if (existingTitleElement && existingTitleElement.tagName === 'H4') {
                existingTitleElement.innerHTML = histData.title;
            } else {
                var titleElement = document.createElement('h4');
                titleElement.innerHTML = histData.title;
                histogramElement.parentNode.insertBefore(titleElement, histogramElement);
            }
        }
    }
    
    // 'DATA.ogitsHistogramData' is a dictionary mapping suffixes to histogram data (to make each histogram unique)
    // We iterate over it, and create a histogram for each one
    Object.entries(DATA.logitsHistogramData).forEach(([suffix, histData]) => {
        var t0 = performance.now();
    
        histId = `histogram-logits-${suffix}`;
        setupLogitsHistogram(histId, histData);
    
        var t1 = performance.now();
        console.log(`HTML for ${histId} generated in ${(t1 - t0).toFixed(1)} ms`);
    });
    
    
    
    
    // ! Using `DATA.featureTablesData` to create & fill in the feature tables
    
    function setupFeatureTables(tablesContainerId, tablesData, tableMetaData) {
        
        // Fetch table data (singular), if it doesn't exist then return early
        const tableData = tablesData[tableMetaData.dataKey] || null;
        if (tableData === null) {
            return;
        }
    
        // Get table container from its ID
        const featureTablesDiv = d3.select(`#${tablesContainerId}`);
    
        // Add a div to hold the header and table, give it a unique ID, and empty it (if that div already existed)
        const tableContainerId = `${tableMetaData.dataKey}-${tablesContainerId}`;
        const tableContainer = featureTablesDiv.append("div").attr("id", tableContainerId);
        tableContainer.selectAll("*").remove();
    
        // Add the title
        tableContainer.append("h4").html(tableMetaData.title);
    
        // Create the table, and header / body
        const table = tableContainer.append("table").attr("class", "table-left");
        const thead = table.append("thead");
        const tbody = table.append("tbody");
        const headerRow = thead.append("tr");
    
        // Append the 3 columns to this table's header row
        tableMetaData.columns.forEach(col => {
            headerRow.append("td")
            .attr("class", col === "Index" ? "left-aligned" : "right-aligned")
            .html(col);
        });
    
        // Append our data to the tbody
        const rows = tbody.selectAll('tr')
            .data(tableData)
            .enter()
            .append('tr');
    
        rows.selectAll('td')
            .data(row => Object.values(row))
            .enter()
            .append('td')
            .attr('class', (d, i) => i === 0 ? 'left-aligned' : 'right-aligned')
            .html(d => d);
    }
        
    // Define some data which will tell us how to create our tables (this isn't a function of data, it's always the same)
    const featureTablesMetaData = [
        {title: "NEURON ALIGNMENT", columns: ["Index", "Value", "% of L<sub>1</sub>"], dataKey: "neuronAlignment"},
        {title: "CORRELATED NEURONS", columns: ["Index", "Pearson Corr.", "Cosine Sim."], dataKey: "correlatedNeurons"},
        {title: "CORRELATED FEATURES", columns: ["Index", "Pearson Corr.", "Cosine Sim."], dataKey: "correlatedFeatures"},
        {title: "CORRELATED FEATURES (B-ENCODER)", columns: ["Index", "Pearson Corr.", "Cosine Sim."], dataKey: "correlatedFeaturesB"},
    ]
    
    // 'featureTablesData' is a dictionary mapping suffixes to feature tables data (to make each table unique)
    // We iterate over it, and create a table for each one
    Object.entries(DATA.featureTablesData).forEach(([suffix, tablesData]) => {
        var t0 = performance.now();
    
        // For each set of tables, we need to empty it, then create each of the new tables (up to 3)
        tablesContainerId = `feature-tables-${suffix}`;
        featureTablesMetaData.forEach(tableMetaData => {
            setupFeatureTables(tablesContainerId, tablesData, tableMetaData);
        });
        
        var t1 = performance.now();
        console.log(`HTML for ${tablesContainerId} generated in ${(t1 - t0).toFixed(1)} ms`);
    });
    
    
    
    
    // ! Using `DATA.logitsTableData` to fill in the pos/neg logit tables
    
    function setupLogitTables(logitsTableId, tablesData, tableMetaData) {
    
        // Fetch table data (singular)
        const tableData = tablesData[tableMetaData.dataKey];
    
        // Select the table container by its ID
        const tablesContainer = d3.select(`#${logitsTableId}`);
    
        // Select the object that contains this particular table (negative or positive)
        const tableId = `${tableMetaData.class}-${logitsTableId}`;
        const tableContainer = tablesContainer.select(`#${tableId}`);
        
        // If this table container doesn't exist, create it
        if (tableContainer.empty()) {
            const section = tablesContainer.append("div").attr("class", tableMetaData.class);
            section.append("h4").html(tableMetaData.title);
            section.append("table").attr("id", tableId).attr("class", "table-left");
        }
    
        // Now we can select the table by its ID, empty data, and add new data
        const table = tablesContainer.select(`#${tableId}`);
        table.selectAll('tr').remove();
    
        // Bind logits data to rows
        const rows = table.selectAll('tr')
            .data(tableData)
            .enter()
            .append('tr');
        
        // Append token cell
        rows.append('td')
            .attr('class', 'left-aligned')
            .append('code')
            .style('background-color', d => d.color)
            .text(d => d.symbol);
        
        // Append value cell
        rows.append('td')
            .attr('class', 'right-aligned')
            .text(d => d.value.toFixed(2));
    }
    
    // Define some data which will tell us how to create our tables (this isn't a function of data, it's always the same)
    var logitTablesMetaData = [
        {title: "NEGATIVE LOGITS", dataKey: "negLogits", class: "negative"},
        {title: "POSITIVE LOGITS", dataKey: "posLogits", class: "positive"},
    ]
    
    // 'logitsTableData' is a dictionary mapping suffixes to logits table data (to make each logits table unique)
    // We iterate over it, and create a logits table for each one
    Object.entries(DATA.logitsTableData).forEach(([suffix, tablesData]) => {
        var t0 = performance.now();
    
        // For each set of (pos / neg) table pairs, we need to empty each of them, then create them again
        // tablesContainerId = `feature-tables-${suffix}`;
        // setupLogitTables(logitsTableId, "negative", tableData.negLogits);
        // setupLogitTables(logitsTableId, "positive", tableData.posLogits);
        
        logitsTableId = `logits-table-${suffix}`;
        logitTablesMetaData.forEach(tableMetaData => {
            setupLogitTables(logitsTableId, tablesData, tableMetaData);
        });
    
        var t1 = performance.now();
        console.log(`HTML for ${logitsTableId} generated in ${(t1 - t0).toFixed(1)} ms`);
    });
    
    
    
    
    
    function addLineHistogram(histogramID, shapeIndex, tok, xValue) {
        // Updates histogram with a line (if the histogram exists)
        // shapeIndex 0 is for on-hover, 1 is for permanent line
        if (document.getElementById(histogramID)) {
            Plotly.relayout(histogramID, {
                [`shapes[${shapeIndex}].x0`]: xValue,
                [`shapes[${shapeIndex}].x1`]: xValue,
                [`shapes[${shapeIndex}].visible`]: true,
                [`annotations[${shapeIndex}].x`]: xValue,
                [`annotations[${shapeIndex}].text`]: `|${tok}|<br>${xValue.toFixed(3)}`,
                [`annotations[${shapeIndex}].visible`]: true,
            });
        }
    }
    
    function removeLineHistogram(histogramID, shapeIndex) {
        if (document.getElementById(histogramID)) {
            Plotly.relayout(histogramID, {
                [`shapes[${shapeIndex}].visible`]: false,
                [`annotations[${shapeIndex}].visible`]: false,
            });
        }
    }
    
    function generateTokHtmlElement(
        parent, tok, tokID, uColor, bgColor, isBold, featAct, tokenLogit, lossEffect, posToks, posVal, negToks, negVal, permanentLine, hide, idSuffix,
    ) {
        // Figure out if previous token was active (this affects the construction of the tooltip)
        let prevTokenActive = posToks.length + negToks.length > 0;
    
        // Create the token span (this will contain just the token, not the hoverdata)
        let tokenSpan = parent.append("span")
            .attr("class", "hover-text");
    
        // Get the histogram ids
        let histogramActsID = `histogram-acts-${idSuffix}`;
        let histogramLogitsID = `histogram-logits-${idSuffix}`;
    
        // Put actual token in the tokenSpan object (i.e. the thing we see without hovering)    
        tokenSpan.append("span")
            .attr("class", "token")
            .style("background-color", bgColor)
            .style("border-bottom", `4px solid ${uColor}`)
            .style("font-weight", isBold ? "bold" : "normal")
            .text(tok);
    
        // If hide is true, then we just show a box saying "no information was calculated for this token"
        if (hide) {
            // First define the tooltip div (added to the parent element, i.e. it's a sibling of the token span)
            let tooltipHeight = 70;
            let tooltipWidth = 150;
            let tooltipDiv = parent.append("div")
                .attr("class", "tooltip")
                .style("height", tooltipHeight + "px")
                .style("width", tooltipWidth + "px")
                .style("font-size", "0.85em")
                .style("white-space", "pre-wrap")
                .style("align-items", "center")
                .style("text-align", "center")
                .style("padding", "15px")
                .html("No information was calculated for this token, since you used compute_buffer=False.");
    
            // Add dynamic behaviour: show the tooltip on hover, and also add lines to the two histograms
            tokenSpan.on('mouseover', function() {
                tooltipDiv.style('display', 'flex');
                tooltipDiv.style('position', 'fixed');
            })
            tokenSpan.on('mousemove', function(event) {
                tooltipDiv.style('left', `${event.clientX - tooltipWidth / 2}px`);
                tooltipDiv.style('top', `${event.clientY + 20}px`);
            });
            tokenSpan.on('mouseout', function() {
                tooltipDiv.style('display', 'none');
            });
            
        // If we're not hiding (because we only generated data for the bolded tokens), then create tooltip & add it on hover
        } else { 
    
            // First define the tooltip div (added to the parent element, i.e. it's a sibling of the token span)
            let tooltipHeight = prevTokenActive ? 270 : 160;
            let tooltipWidth = prevTokenActive ? 350 : 250;
            let tooltipDiv = parent.append("div")
                .attr("class", "tooltip")
                .style("height", tooltipHeight + "px")
                .style("width", tooltipWidth + "px")
                .style("align-items", "center")
                .style("text-align", "center");
    
            // Next, create a table container, to contain 2 tables: one with basics (acts & loss effect), one with per-token logits
            let tableContainer = tooltipDiv.append("div").attr("class", "table-container");
    
            // Creat the first table
            let tokRow = `<td class="right-aligned">Token</td><td class="left-aligned"><code>${tok}</code> (${tokID})</td>`;
            let featActRow = `<td class="right-aligned">Feature activation</td><td class="left-aligned">${featAct >= 0 ? '+' : ''}${featAct.toFixed(3)}</td>`;
            let lossRow = `<td class="right-aligned">Loss contribution</td><td class="left-aligned">${lossEffect >= 0 ? '+' : ''}${lossEffect.toFixed(3)}</td>`;
            let firstTable = tableContainer.append("table");
            firstTable.append("tr").html(tokRow);
            firstTable.append("tr").html(featActRow);
            firstTable.append("tr").html(lossRow);
            tableContainer.append("br");
            
            // If previous token is active, we add logit table
            if (prevTokenActive) {
                
                // Create container for top & bottom logits tables
                let logitsTableContainer = tableContainer.append("div").attr("class", "half-width-container")
    
                // Create the positive table, and fill it with values
                let posLogitsTable = logitsTableContainer.append("table").attr("class", "half-width")
                posLogitsTable.append("tr").html(`<td class="center-aligned" colspan="2">Pos logit contributions</td>`);
                posToks.forEach((tok, index) => {
                    posLogitsTable.append("tr").html(`
                        <td class="right-aligned"><code>${tok}</code></td>
                        <td class="left-aligned">${posVal[index] > 0 ? '+' : ''}${posVal[index].toFixed(3)}</td>
                    `);
                });
    
                // Create the negative table, and fill it with values
                let negLogitsTable = logitsTableContainer.append("table").attr("class", "half-width")
                negLogitsTable.append("tr").html(`<td class="center-aligned" colspan="2">Neg logit contributions</td>`);
                negToks.forEach((tok, index) => {
                    negLogitsTable.append("tr").html(`
                        <td class="right-aligned"><code>${tok}</code></td>
                        <td class="left-aligned">${negVal[index] > 0 ? '+' : ''}${negVal[index].toFixed(3)}</td>
                    `);
                });
    
            // If previous token is not active, we add a message instead
            } else {
                tableContainer.append("div")
                    .style("font-size", "0.85em")
                    .html("Feature not active on prev token;<br>no predictions were affected.");
            }
    
            // Add dynamic behaviour: show the tooltip on hover, and also add lines to the two histograms
            tokenSpan.on('mouseover', function() {
                tooltipDiv.style('display', 'flex');
                tooltipDiv.style('position', 'fixed');
                addLineHistogram(histogramActsID, 0, tok, featAct);
                addLineHistogram(histogramLogitsID, 0, tok, tokenLogit);
            })
            tokenSpan.on('mousemove', function(event) {
                tooltipDiv.style('left', `${event.clientX - tooltipWidth / 2}px`);
                tooltipDiv.style('top', `${event.clientY + 20}px`);
            });
            tokenSpan.on('mouseout', function() {
                tooltipDiv.style('display', 'none');
                removeLineHistogram(histogramActsID, 0);
                removeLineHistogram(histogramLogitsID, 0);
            });
    
            // Add static behaviour: if required, then show the permanent line on the histograms, as shapes[1]
            if (permanentLine & isBold) {
                addLineHistogram(histogramActsID, 1, tok, featAct);
                addLineHistogram(histogramLogitsID, 1, tok, tokenLogit);
            }
        }
    }
    
    Object.entries(DATA.tokenData).forEach(([seqGroupID, seqGroupData]) => {
        const t0 = performance.now();
    
        // Find the sequence group container (this is the only thing that already exists)
        const seqGroupContainer = d3.select(`#${seqGroupID}`);
    
        // Empty this container of title & all sequences
        seqGroupContainer.selectAll('*').remove();
    
        // If title exists, add the title to this sequence group (we need .html not .text, because it could have <br>)
        if ("title" in seqGroupData) {
            seqGroupContainer.append('h4').html(seqGroupData.title);
        }
    
        // Get the ID suffix for this sequence group
        const idSuffix = seqGroupData.idSuffix;
    
        // Select all sequences (initially empty), and then add our sequences & bind them to the elems in seqGroupData.data
        const seqGroup = seqGroupContainer.selectAll('.seq')
            .data(seqGroupData.data)
            .enter()
            .append('div')
            .attr('class', 'seq');
    
        // For each sequence, we iterate over & add all its tokens
        seqGroup.each(function(seqData) {
    
            // Get `seq`, which is the individual `seq` element in seqGroup (i.e. the sequence container)
            const seq = d3.select(this);
    
            // Iterate through each token data dict in `seqData`, and add this token to the sequence
            seqData.forEach(tokData => {
    
                generateTokHtmlElement(
                    seq,                                // object we'll append the token to
                    tokData.tok,                        // string token
                    tokData.tokID,                      // token ID (shown on hover, after PR request)
                    tokData["uColor"] || "#fff",        // underline color (derived from loss effect)
                    tokData["bgColor"] || "#fff",       // background color (derived from feature activation)
                    tokData["isBold"] || false,         // is this token bolded?
                    tokData["featAct"] || 0.0,          // feature activation at this token (used for acts histogram line)
                    tokData["tokenLogit"] || 0.0,       // raw logit effect on this token (used for logits histogram line)
                    tokData["lossEffect"] || 0.0,       // effect on loss (used for histogram line), if prev token active
                    tokData["posToks"] || [],           // most-positive tokens (strings)
                    tokData["posVal"] || [],            // most-positive token values
                    tokData["negToks"] || [],           // most-negative tokens (strings)
                    tokData["negVal"] || [],            // most-negative token values
                    tokData["permanentLine"] || false,  // do we show a permanent line on histogram?
                    tokData["hide"] || false,           // do we suppress hoverdata for this token?
                    idSuffix,                           // suffix for the histogram ID which the hoverline will be added to
                );
            });
        });
    
        const t1 = performance.now(); // End timing
        console.log(`HTML for ${seqGroupID} generated in ${(t1 - t0).toFixed(1)} ms`);
    });
}

function defineData() {
    // Returns the data - see the docstring of the Python HTML class to understand the structure of this object.

    return {"AGGDATA": {"max": [17.4137, 38.62667, 30.43501, 34.72691, 7.51, 34.72189, 10.12026, 47.62303, 13.69566, 15.05604, 63.77417], "frac_nonzero": [0.00297, 0.0013, 0.00073, 0.0003, 0.00304, 0.00016, 0.0054, 0.00121, 0.00592, 0.00069, 0.0004], "skew": [], "kurtosis": []}, "DASHBOARD_DATA": {"0": {"featureTablesData": {"0": {"neuronAlignment": [{"index": 609, "value": "+0.099", "percentageL1": "0.5%"}, {"index": 413, "value": "+0.097", "percentageL1": "0.5%"}, {"index": 674, "value": "+0.087", "percentageL1": "0.4%"}], "correlatedNeurons": [{"index": 609, "value": "+0.069", "percentageL1": "+0.078"}, {"index": 223, "value": "+0.058", "percentageL1": "+0.061"}, {"index": 25, "value": "+0.057", "percentageL1": "+0.053"}], "correlatedFeatures": [{"index": 14057, "value": "+0.002", "percentageL1": "+0.002"}, {"index": 6, "value": "+0.000", "percentageL1": "+0.002"}, {"index": 0, "value": "+0.000", "percentageL1": "+0.000"}]}}, "actsHistogramData": {"0": {"y": [538, 451, 384, 330, 255, 233, 192, 192, 160, 155, 123, 110, 85, 97, 70, 60, 54, 51, 52, 44, 29, 29, 20, 12, 11, 13, 12, 6, 9, 7, 2, 2, 2, 1, 3, 3, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], "x": [0.17484, 0.5231, 0.87136, 1.21962, 1.56788, 1.91614, 2.2644, 2.61266, 2.96092, 3.30918, 3.65744, 4.0057, 4.35396, 4.70222, 5.05048, 5.39874, 5.747, 6.09526, 6.44352, 6.79178, 7.14004, 7.4883, 7.83656, 8.18481, 8.53307, 8.88133, 9.22959, 9.57785, 9.92611, 10.27437, 10.62263, 10.97089, 11.31915, 11.66741, 12.01567, 12.36393, 12.71219, 13.06045, 13.40871, 13.75697, 14.10523, 14.45349, 14.80175, 15.15001, 15.49827, 15.84653, 16.19479, 16.54305, 16.89131, 17.23957], "ticks": [0, 5.8, 11.6, 17.4], "colors": ["#ffd198", "#ffcf94", "#ffcd91", "#ffcc8e", "#ffcb8b", "#ffc988", "#ffc885", "#ffc782", "#ffc57f", "#ffc47c", "#ffc379", "#ffc175", "#ffbf72", "#ffbe6f", "#ffbd6c", "#ffbb69", "#ffba66", "#ffb963", "#ffb760", "#ffb65d", "#ffb459", "#ffb356", "#ffb153", "#ffb050", "#ffaf4d", "#ffad4a", "#ffac47", "#ffab44", "#ffa941", "#ffa83e", "#ffa63a", "#ffa537", "#ffa334", "#ffa231", "#ffa12e", "#ff9f2b", "#ff9e28", "#ff9d25", "#ff9b22", "#ff9a1f", "#ff981b", "#ff9718", "#ff9515", "#ff9412", "#ff930f", "#ff910c", "#ff9009", "#ff8f06", "#ff8d03", "#ff8c00"], "title": "ACTIVATIONS<br>DENSITY = 0.297%"}}, "logitsTableData": {"0": {"negLogits": [{"symbol": "geist", "value": -0.67, "color": "rgba(255,46,46,0.5)"}, {"symbol": "AMI", "value": -0.63, "color": "rgba(255,58,58,0.5)"}, {"symbol": "othal", "value": -0.6, "color": "rgba(255,69,69,0.5)"}, {"symbol": "ovan", "value": -0.59, "color": "rgba(255,73,73,0.5)"}, {"symbol": " Kun", "value": -0.56, "color": "rgba(255,82,82,0.5)"}, {"symbol": " totality", "value": -0.55, "color": "rgba(255,85,85,0.5)"}, {"symbol": "iatus", "value": -0.55, "color": "rgba(255,85,85,0.5)"}, {"symbol": "ablishment", "value": -0.54, "color": "rgba(255,87,87,0.5)"}, {"symbol": "normal", "value": -0.54, "color": "rgba(255,87,87,0.5)"}, {"symbol": " jo", "value": -0.54, "color": "rgba(255,88,88,0.5)"}], "posLogits": [{"symbol": "etheless", "value": 0.82, "color": "rgba(0,0,255,0.5)"}, {"symbol": "thirds", "value": 0.74, "color": "rgba(25,25,255,0.5)"}, {"symbol": " thirds", "value": 0.71, "color": "rgba(35,35,255,0.5)"}, {"symbol": "doms", "value": 0.7, "color": "rgba(38,38,255,0.5)"}, {"symbol": " times", "value": 0.7, "color": "rgba(39,39,255,0.5)"}, {"symbol": "tions", "value": 0.65, "color": "rgba(52,52,255,0.5)"}, {"symbol": " fold", "value": 0.63, "color": "rgba(59,59,255,0.5)"}, {"symbol": " Weir", "value": 0.62, "color": "rgba(63,63,255,0.5)"}, {"symbol": "taboola", "value": 0.62, "color": "rgba(63,63,255,0.5)"}, {"symbol": "pecially", "value": 0.61, "color": "rgba(66,66,255,0.5)"}]}}, "logitsHistogramData": {"0": {"y": [1, 1, 2, 1, 9, 19, 13, 34, 57, 116, 172, 288, 466, 683, 1033, 1460, 1983, 2520, 3049, 3628, 3984, 4286, 4258, 4047, 3651, 3174, 2653, 2277, 1722, 1347, 1015, 704, 521, 381, 211, 194, 101, 91, 35, 23, 24, 7, 7, 3, 1, 2, 1, 1, 0, 1], "x": [-0.65777, -0.62782, -0.59787, -0.56792, -0.53797, -0.50802, -0.47807, -0.44812, -0.41817, -0.38822, -0.35827, -0.32833, -0.29838, -0.26843, -0.23848, -0.20853, -0.17858, -0.14863, -0.11868, -0.08873, -0.05878, -0.02883, 0.00112, 0.03107, 0.06102, 0.09097, 0.12092, 0.15087, 0.18082, 0.21077, 0.24072, 0.27067, 0.30062, 0.33057, 0.36052, 0.39047, 0.42042, 0.45037, 0.48032, 0.51027, 0.54022, 0.57017, 0.60012, 0.63006, 0.66001, 0.68996, 0.71991, 0.74986, 0.77981, 0.80976], "ticks": [-0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6]}}, "tokenData": {"seq-group-2-0": {"data": [[{"tok": " converted", "tokID": 11513, "tokenLogit": -0.0653, "isBold": false}, {"tok": " into", "tokID": 656, "tokenLogit": -0.0708, "isBold": false}, {"tok": " I", "tokID": 314, "tokenLogit": -0.0872, "isBold": false}, {"tok": "MAX", "tokID": 22921, "tokenLogit": -0.0215, "isBold": false}, {"tok": ",", "tokID": 11, "tokenLogit": -0.1119, "isBold": false}, {"tok": " four", "tokID": 1440, "tokenLogit": -0.0091, "isBold": true, "featAct": 17.4137, "bgColor": "#ff8c00"}, {"tok": " flowing", "tokID": 17609, "tokenLogit": -0.1503, "isBold": false}, {"tok": " from", "tokID": 422, "tokenLogit": 0.061, "isBold": false}, {"tok": " Hu", "tokID": 11256, "tokenLogit": -0.1109, "isBold": false}, {"tok": "ay", "tokID": 323, "tokenLogit": 0.0927, "isBold": false}, {"tok": "i", "tokID": 72, "tokenLogit": 0.0574, "isBold": false}], [{"tok": "000", "tokID": 830, "tokenLogit": 0.2782, "isBold": false}, {"tok": " tonnes", "tokID": 26840, "tokenLogit": 0.3429, "isBold": false}, {"tok": " of", "tokID": 286, "tokenLogit": 0.2511, "isBold": false}, {"tok": " steel", "tokID": 7771, "tokenLogit": 0.1516, "isBold": false}, {"tok": ",", "tokID": 11, "tokenLogit": -0.1119, "isBold": false}, {"tok": " eight", "tokID": 3624, "tokenLogit": 0.074, "isBold": true, "featAct": 15.7828, "bgColor": "#ff9617"}, {"tok": " million", "tokID": 1510, "tokenLogit": 0.4571, "isBold": false, "featAct": 7.4174, "bgColor": "#ffce92"}, {"tok": " rive", "tokID": 40112, "tokenLogit": 0.0167, "isBold": false}, {"tok": "ts", "tokID": 912, "tokenLogit": -0.0582, "isBold": false}, {"tok": " and", "tokID": 290, "tokenLogit": -0.0084, "isBold": false}, {"tok": " the", "tokID": 262, "tokenLogit": -0.1583, "isBold": false}], [{"tok": ",", "tokID": 11, "tokenLogit": -0.1119, "isBold": false}, {"tok": " police", "tokID": 1644, "tokenLogit": 0.0574, "isBold": false}, {"tok": " officials", "tokID": 2828, "tokenLogit": 0.1672, "isBold": false}, {"tok": " said", "tokID": 531, "tokenLogit": 0.2128, "isBold": false}, {"tok": ",", "tokID": 11, "tokenLogit": -0.1119, "isBold": false}, {"tok": " two", "tokID": 734, "tokenLogit": -0.0353, "isBold": true, "featAct": 15.2752, "bgColor": "#ff9a1f"}, {"tok": " days", "tokID": 1528, "tokenLogit": 0.541, "isBold": false}, {"tok": " after", "tokID": 706, "tokenLogit": 0.0809, "isBold": false}, {"tok": " the", "tokID": 262, "tokenLogit": -0.1583, "isBold": false}, {"tok": " group", "tokID": 1448, "tokenLogit": -0.0883, "isBold": false}, {"tok": "\u00e2\u0122", "tokID": 447, "tokenLogit": 0.1222, "isBold": false}], [{"tok": " eight", "tokID": 3624, "tokenLogit": 0.074, "isBold": false}, {"tok": " Monday", "tokID": 3321, "tokenLogit": 0.0059, "isBold": false}, {"tok": " to", "tokID": 284, "tokenLogit": 0.1673, "isBold": false}, {"tok": " Saturday", "tokID": 3909, "tokenLogit": -0.0428, "isBold": false}, {"tok": ",", "tokID": 11, "tokenLogit": -0.1119, "isBold": false}, {"tok": " three", "tokID": 1115, "tokenLogit": -0.0039, "isBold": true, "featAct": 13.3326, "bgColor": "#ffa73b"}, {"tok": " on", "tokID": 319, "tokenLogit": -0.0751, "isBold": false}, {"tok": " Sunday", "tokID": 3502, "tokenLogit": -0.0219, "isBold": false}, {"tok": ")", "tokID": 8, "tokenLogit": -0.0289, "isBold": false}, {"tok": " run", "tokID": 1057, "tokenLogit": -0.175, "isBold": false}, {"tok": " from", "tokID": 422, "tokenLogit": 0.061, "isBold": false}], [{"tok": "el", "tokID": 417, "tokenLogit": 0.0969, "isBold": 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"isBold": false}, {"tok": " by", "tokID": 416, "tokenLogit": 0.0295, "isBold": false}, {"tok": " way", "tokID": 835, "tokenLogit": 0.3189, "isBold": true, "featAct": 35.4733, "bgColor": "#ffbf71"}, {"tok": " too", "tokID": 1165, "tokenLogit": 0.5138, "isBold": false}, {"tok": " fast", "tokID": 3049, "tokenLogit": 0.2757, "isBold": false}, {"tok": ".\"", "tokID": 526, "tokenLogit": -0.0725, "isBold": false}, {"tok": " \"", "tokID": 366, "tokenLogit": -0.0554, "isBold": false}, {"tok": "Until", "tokID": 18273, "tokenLogit": -0.0058, "isBold": false}]], "idSuffix": "0", "title": "INTERVAL 31.887 - 38.265<br>CONTAINS 0.001%"}, "seq-group-2-6": {"data": [[{"tok": "12", "tokID": 1065, "tokenLogit": 0.2556, "isBold": false}, {"tok": "/", "tokID": 14, "tokenLogit": -0.0105, "isBold": false}, {"tok": "36", "tokID": 2623, "tokenLogit": 0.0587, "isBold": false}, {"tok": ")", "tokID": 8, "tokenLogit": 0.0191, "isBold": false}, {"tok": " and", "tokID": 290, "tokenLogit": -0.0976, "isBold": false}, 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