Spaces:
Sleeping
Sleeping
Paar, F. (Ferdinand) commited on
Commit ·
d31e7ee
1
Parent(s): 4e93d08
limit textarea to 200 chars and adjust thumbnail sizing3
Browse files- frontend/index.html +1 -70
- frontend/script.js +20 -19
frontend/index.html
CHANGED
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@@ -85,7 +85,7 @@
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id="inputText"
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rows="2"
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cols="50"
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maxlength="
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placeholder="Enter your text here..."
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autofocus
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></textarea>
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@@ -330,72 +330,3 @@
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</script>
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</body>
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
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<title>DeepGaze</title>
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<link rel="stylesheet" href="static/styles.css" />
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<script src="https://d3js.org/d3.v6.min.js"></script>
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<style>
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/* Process button styling */
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.text-form button {
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background-color: #800000; /* Bordo red */
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color: #fff;
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border: none;
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padding: 8px 12px;
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font-size: 14px;
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border-radius: 4px;
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cursor: pointer;
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}
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/* Info container styling for head and layer display */
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.info-container {
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display: flex;
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align-items: center;
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margin: 5px 0;
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font-size: 0.9rem;
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}
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.info-container .label {
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margin-right: 5px;
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}
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.info-container .number-box {
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border: 1px solid #800000;
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border-radius: 4px;
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padding: 2px 6px;
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font-weight: bold;
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color: #800000;
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min-width: 20px;
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text-align: center;
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}
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.credits-container {
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background-color: #800000;
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padding: 10px 15px;
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border-radius: 8px;
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text-align: center;
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font-family: Arial, sans-serif;
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font-size: 14px;
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color: #ffffff;
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margin: 20px auto;
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width: fit-content;
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box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.1);
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}
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.credits-container a {
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color: #ffcccc;
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text-decoration: none;
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}
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.credits-container a:hover {
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text-decoration: underline;
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}
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</style>
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</head>
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<body>
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<!-- Your existing content remains unchanged -->
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<div class="credits-container">
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Created by Samu and Ferdi - Credits to <a href="https://github.com/jessevig/bertviz" target="_blank">BertViz</a>
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</div>
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<script src="static/script.js?v=2025001fe143433"></script>
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</body>
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</html>
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id="inputText"
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rows="2"
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cols="50"
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maxlength="50"
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placeholder="Enter your text here..."
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autofocus
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></textarea>
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</script>
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</body>
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</html>
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frontend/script.js
CHANGED
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@@ -18,14 +18,19 @@ document.getElementById('textForm').addEventListener('submit', async (e) => {
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// Use data.tokens and data.attention from your POST response
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displayOutput(data);
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displayHoverTokens(data, 0, 0);
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-
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} catch (error) {
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console.error('Error:', error);
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document.getElementById('output').innerText = 'Error processing text.';
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}
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});
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function renderModelView(
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const container = document.getElementById("model_view_container");
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if (!container) return;
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container.innerHTML = "";
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@@ -36,10 +41,10 @@ function renderModelView(tokens, attention) {
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gridContainer.style.gridGap = "10px";
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gridContainer.style.padding = "20px";
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// Loop over all 12 layers and 12 heads
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for (let layerIdx = 0; layerIdx < 12; layerIdx++) {
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for (let headIdx = 0; headIdx < 12; headIdx++) {
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const thumbnail = createAttentionThumbnail(
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gridContainer.appendChild(thumbnail);
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}
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}
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@@ -47,7 +52,11 @@ function renderModelView(tokens, attention) {
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container.appendChild(gridContainer);
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}
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function createAttentionThumbnail(
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const width = 80;
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const tokenHeight = 15;
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const padding = 10;
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@@ -82,14 +91,10 @@ function createAttentionThumbnail(tokens, attention, layerIdx, headIdx) {
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.attr("font-size", "10")
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.text(`L${layerIdx + 1} H${headIdx + 1}`);
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// (Removed the drawing of token text on the left and right to keep it clean.)
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// Draw attention lines with per-row normalization.
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attention[layerIdx][headIdx].forEach((sourceWeights, sourceIdx) => {
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// Compute the maximum weight in this row (or use 1 if all are zero).
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const rowMax = Math.max(...sourceWeights) || 1;
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sourceWeights.forEach((weight, targetIdx) => {
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// Only draw if the weight exceeds a threshold and is not self-attention.
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if (weight > 0.01 && sourceIdx !== targetIdx) {
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const normalizedWeight = weight / rowMax;
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svg.append("line")
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@@ -97,7 +102,7 @@ function createAttentionThumbnail(tokens, attention, layerIdx, headIdx) {
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.attr("y1", padding + sourceIdx * tokenHeight - 5)
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.attr("x2", xRight)
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.attr("y2", padding + targetIdx * tokenHeight - 5)
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.attr("stroke", "#800000") //
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.attr("stroke-width", Math.max(0.5, normalizedWeight * maxLineWidth))
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.attr("opacity", Math.min(maxOpacity, normalizedWeight * 2))
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.attr("stroke-linecap", "round");
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@@ -105,19 +110,19 @@ function createAttentionThumbnail(tokens, attention, layerIdx, headIdx) {
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});
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});
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// Click handler
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thumbnail.on("click", function() {
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d3.select("#
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d3.select("#
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displayHoverTokens(data, layerIdx, headIdx);
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});
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return thumbnail.node();
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}
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// Function to display the tokens and attention values
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function displayOutput(data) {
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const outputDiv = document.getElementById('output');
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// Show raw tokens and attention data for debugging or inspection
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outputDiv.innerHTML = `
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<h2>Tokens</h2>
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<pre>${JSON.stringify(data.tokens, null, 2)}</pre>
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@@ -168,16 +173,13 @@ function resetTokenSizes() {
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function highlightAttention(index, attentionData, layer_idx, head_idx) {
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const container = document.getElementById('tokenContainer');
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// Retrieve the attention weights row for the hovered token
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const row = attentionData[layer_idx][head_idx][index];
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if (!row) {
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console.warn(`No attention data for token index ${index}`);
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return;
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}
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// Consider only the preceding tokens
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const weights = row.slice(0, index);
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// Normalize using the maximum weight from the current row (or 1 if zero)
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const maxWeight = Math.max(...attentionData[layer_idx][head_idx]) || 1;
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const baseFontSize = 32;
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const maxIncrease = 20;
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@@ -185,11 +187,10 @@ function highlightAttention(index, attentionData, layer_idx, head_idx) {
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Array.from(container.children).forEach((span, idx) => {
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if (idx < index) {
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const weight = weights[idx];
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// Calculate the new font size based on the attention weight
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const newFontSize = baseFontSize + (weight / maxWeight) * maxIncrease;
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span.style.fontSize = newFontSize + "px";
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} else {
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span.style.fontSize = baseFontSize + "px";
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}
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});
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}
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// Use data.tokens and data.attention from your POST response
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displayOutput(data);
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displayHoverTokens(data, 0, 0);
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// Changed call here to pass the entire data object
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renderModelView(data);
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} catch (error) {
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console.error('Error:', error);
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document.getElementById('output').innerText = 'Error processing text.';
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}
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});
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function renderModelView(data) {
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// Extract tokens and attention from the data object
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const tokens = data.tokens;
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const attention = data.attention;
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const container = document.getElementById("model_view_container");
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if (!container) return;
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container.innerHTML = "";
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gridContainer.style.gridGap = "10px";
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gridContainer.style.padding = "20px";
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// Loop over all 12 layers and 12 heads, passing the complete data object
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for (let layerIdx = 0; layerIdx < 12; layerIdx++) {
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for (let headIdx = 0; headIdx < 12; headIdx++) {
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const thumbnail = createAttentionThumbnail(data, layerIdx, headIdx);
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gridContainer.appendChild(thumbnail);
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}
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}
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container.appendChild(gridContainer);
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}
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function createAttentionThumbnail(data, layerIdx, headIdx) {
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// Extract tokens and attention from the data object
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const tokens = data.tokens;
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const attention = data.attention;
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const width = 80;
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const tokenHeight = 15;
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const padding = 10;
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.attr("font-size", "10")
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.text(`L${layerIdx + 1} H${headIdx + 1}`);
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// Draw attention lines with per-row normalization.
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attention[layerIdx][headIdx].forEach((sourceWeights, sourceIdx) => {
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const rowMax = Math.max(...sourceWeights) || 1;
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sourceWeights.forEach((weight, targetIdx) => {
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if (weight > 0.01 && sourceIdx !== targetIdx) {
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const normalizedWeight = weight / rowMax;
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svg.append("line")
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.attr("y1", padding + sourceIdx * tokenHeight - 5)
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.attr("x2", xRight)
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.attr("y2", padding + targetIdx * tokenHeight - 5)
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.attr("stroke", "#800000") // Bordo red
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.attr("stroke-width", Math.max(0.5, normalizedWeight * maxLineWidth))
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.attr("opacity", Math.min(maxOpacity, normalizedWeight * 2))
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.attr("stroke-linecap", "round");
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});
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});
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// Click handler remains unchanged, using the passed-in data object.
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thumbnail.on("click", function() {
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d3.select("#display_head .number-box").text(headIdx + 1);
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d3.select("#display_layer .number-box").text(layerIdx + 1);
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displayHoverTokens(data, layerIdx, headIdx);
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});
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return thumbnail.node();
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}
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// Function to display the tokens and attention values
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function displayOutput(data) {
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const outputDiv = document.getElementById('output');
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outputDiv.innerHTML = `
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<h2>Tokens</h2>
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<pre>${JSON.stringify(data.tokens, null, 2)}</pre>
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function highlightAttention(index, attentionData, layer_idx, head_idx) {
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const container = document.getElementById('tokenContainer');
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const row = attentionData[layer_idx][head_idx][index];
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if (!row) {
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console.warn(`No attention data for token index ${index}`);
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return;
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}
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const weights = row.slice(0, index);
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const maxWeight = Math.max(...attentionData[layer_idx][head_idx]) || 1;
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const baseFontSize = 32;
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const maxIncrease = 20;
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Array.from(container.children).forEach((span, idx) => {
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if (idx < index) {
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const weight = weights[idx];
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const newFontSize = baseFontSize + (weight / maxWeight) * maxIncrease;
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span.style.fontSize = newFontSize + "px";
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} else {
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span.style.fontSize = baseFontSize + "px";
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}
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});
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}
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