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_feature_vis_demo_gpt.html
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<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 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;
}
/* 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%;
}
</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 = "7650";
// 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": [0.22313], "frac_nonzero": [0.78442], "skew": [], "kurtosis": []}, "DASHBOARD_DATA": {"7650": {"featureTablesData": {"0": {"neuronAlignment": [{"index": 66, "value": "+0.062", "percentageL1": "0.3%"}, {"index": 67, "value": "+0.062", "percentageL1": "0.3%"}, {"index": 622, "value": "+0.062", "percentageL1": "0.3%"}], "correlatedNeurons": [{"index": 479, "value": "+0.712", "percentageL1": "+0.173"}, {"index": 554, "value": "+0.701", "percentageL1": "+0.458"}, {"index": 314, "value": "+0.696", "percentageL1": "+0.648"}], "correlatedFeatures": [{"index": 7650, "value": "+0.000", "percentageL1": "+0.000"}]}}, "actsHistogramData": {"0": {"y": [8847, 9174, 8420, 8671, 10321, 11602, 9462, 9016, 8559, 8310, 8265, 8004, 8709, 8440, 7752, 9021, 7331, 6668, 7171, 6729, 5351, 5236, 6960, 5237, 2991, 2090, 1565, 1367, 1046, 891, 578, 502, 373, 231, 188, 121, 153, 83, 60, 33, 25, 18, 16, 7, 6, 5, 10, 3, 1, 12], "x": [0.00223, 0.0067, 0.01116, 0.01562, 0.02008, 0.02455, 0.02901, 0.03347, 0.03793, 0.0424, 0.04686, 0.05132, 0.05578, 0.06025, 0.06471, 0.06917, 0.07363, 0.0781, 0.08256, 0.08702, 0.09148, 0.09595, 0.10041, 0.10487, 0.10933, 0.1138, 0.11826, 0.12272, 0.12718, 0.13165, 0.13611, 0.14057, 0.14503, 0.1495, 0.15396, 0.15842, 0.16288, 0.16735, 0.17181, 0.17627, 0.18073, 0.1852, 0.18966, 0.19412, 0.19858, 0.20305, 0.20751, 0.21197, 0.21643, 0.2209], "ticks": [0, 0.0, 0.0, 0.0], "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 = 78.442%"}}, "logitsTableData": {"0": {"negLogits": [{"symbol": "opath", "value": -0.7, "color": "rgba(255,38,38,0.5)"}, {"symbol": " specialization", "value": -0.64, "color": "rgba(255,57,57,0.5)"}, {"symbol": " Close", "value": -0.63, "color": "rgba(255,60,60,0.5)"}, {"symbol": "ometry", "value": -0.62, "color": "rgba(255,61,61,0.5)"}, {"symbol": " Kun", "value": -0.62, "color": "rgba(255,62,62,0.5)"}, {"symbol": "ology", "value": -0.62, "color": "rgba(255,64,64,0.5)"}, {"symbol": "atur", "value": -0.6, "color": "rgba(255,68,68,0.5)"}, {"symbol": " [&", "value": -0.6, "color": "rgba(255,69,69,0.5)"}, {"symbol": " Capitalism", "value": -0.6, "color": "rgba(255,70,70,0.5)"}, {"symbol": " identification", "value": -0.59, "color": "rgba(255,71,71,0.5)"}], "posLogits": [{"symbol": "estones", "value": 0.83, "color": "rgba(0,0,255,0.5)"}, {"symbol": "undreds", "value": 0.78, "color": "rgba(15,15,255,0.5)"}, {"symbol": "essee", "value": 0.77, "color": 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