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Like reading left to right, it helps track local word-by-word patterns.", "requires_repetition": false, "top_heads": [ { "layer": 1, "head": 0, "score": 0.3655 }, { "layer": 2, "head": 2, "score": 0.5679 }, { "layer": 2, "head": 5, "score": 0.3384 }, { "layer": 2, "head": 9, "score": 0.4052 }, { "layer": 3, "head": 2, "score": 0.4164 }, { "layer": 3, "head": 6, "score": 0.3359 }, { "layer": 3, "head": 7, "score": 0.4419 }, { "layer": 4, "head": 11, "score": 0.97 } ] }, "induction": { "display_name": "Induction", "description": "Completes repeated patterns: if it saw [A][B] before and now sees [A], it predicts [B]", "icon": "repeat", "educational_text": "This head finds patterns that happened before and predicts they'll happen again. If it saw 'the cat' earlier, it expects the same words to follow.", "requires_repetition": true, "suggested_prompt": "Try: 'The cat sat on the mat. The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 5, "head": 0, "score": 0.3363 }, { "layer": 5, "head": 1, "score": 0.4412 }, { "layer": 5, "head": 5, "score": 0.4119 }, { "layer": 5, "head": 8, "score": 0.3032 }, { "layer": 6, "head": 9, "score": 0.3017 }, { "layer": 7, "head": 10, "score": 0.2849 }, { "layer": 8, "head": 1, "score": 0.2608 }, { "layer": 10, "head": 7, "score": 0.2196 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. The cat slept.' to see duplicate-token heads light up.", "top_heads": [ { "layer": 0, "head": 1, "score": 0.4175 }, { "layer": 0, "head": 5, "score": 0.4155 }, { "layer": 1, "head": 11, "score": 0.3256 }, { "layer": 3, "head": 0, "score": 0.2416 }, { "layer": 4, "head": 7, "score": 0.1238 }, { "layer": 11, "head": 8, "score": 0.1741 } ] }, "positional": { "display_name": "Positional / First-Token", "description": "Always pays attention to the very first word, using it as an anchor point", "icon": "map-pin", "educational_text": "This head always pays attention to the very first word, using it as an anchor point. 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The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 5, "head": 8, "score": 0.3981 }, { "layer": 6, "head": 1, "score": 0.343 }, { "layer": 6, "head": 15, "score": 0.3705 }, { "layer": 7, "head": 2, "score": 0.3877 }, { "layer": 9, "head": 9, "score": 0.4424 }, { "layer": 11, "head": 1, "score": 0.4872 }, { "layer": 12, "head": 13, "score": 0.4212 }, { "layer": 17, "head": 12, "score": 0.262 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. The cat slept.' to see duplicate-token heads light up.", "top_heads": [ { "layer": 0, "head": 11, "score": 0.1151 }, { "layer": 1, "head": 4, "score": 0.3243 }, { "layer": 4, "head": 6, "score": 0.2291 }, { "layer": 6, "head": 5, "score": 0.1147 }, { "layer": 7, "head": 11, "score": 0.609 }, { "layer": 8, "head": 9, "score": 0.1336 }, { "layer": 21, "head": 1, "score": 0.1627 }, { "layer": 23, "head": 6, "score": 0.1316 } ] }, "positional": { "display_name": "Positional / First-Token", "description": "Always pays attention to the very first word, using it as an anchor point", "icon": "map-pin", "educational_text": "This head always pays attention to the very first word, using it as an anchor point. 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The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 3, "head": 5, "score": 0.1059 }, { "layer": 6, "head": 0, "score": 0.366 }, { "layer": 6, "head": 1, "score": 0.5093 }, { "layer": 6, "head": 6, "score": 0.527 }, { "layer": 7, "head": 9, "score": 0.2443 }, { "layer": 8, "head": 2, "score": 0.2365 }, { "layer": 9, "head": 4, "score": 0.1903 }, { "layer": 11, "head": 6, "score": 0.1891 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. The cat slept.' to see duplicate-token heads light up.", "top_heads": [ { "layer": 0, "head": 2, "score": 0.5816 }, { "layer": 0, "head": 6, "score": 0.4221 }, { "layer": 0, "head": 7, "score": 0.3547 }, { "layer": 0, "head": 10, "score": 0.2564 }, { "layer": 0, "head": 11, "score": 0.3476 }, { "layer": 1, "head": 8, "score": 0.2438 }, { "layer": 4, "head": 8, "score": 0.2169 }, { "layer": 6, "head": 4, "score": 0.2793 } ] }, "positional": { "display_name": "Positional / First-Token", "description": "Always pays attention to the very first word, using it as an anchor point", "icon": "map-pin", "educational_text": "This head always pays attention to the very first word, using it as an anchor point. 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The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 4, "head": 6, "score": 0.4372 }, { "layer": 4, "head": 8, "score": 0.5494 }, { "layer": 4, "head": 10, "score": 0.3222 }, { "layer": 5, "head": 7, "score": 0.2877 }, { "layer": 6, "head": 6, "score": 0.272 }, { "layer": 8, "head": 2, "score": 0.2958 }, { "layer": 8, "head": 11, "score": 0.3824 }, { "layer": 9, "head": 5, "score": 0.2983 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. The cat slept.' to see duplicate-token heads light up.", "top_heads": [ { "layer": 0, "head": 7, "score": 0.2944 }, { "layer": 1, "head": 6, "score": 0.4044 }, { "layer": 2, "head": 10, "score": 0.1303 }, { "layer": 3, "head": 3, "score": 0.4733 }, { "layer": 6, "head": 10, "score": 0.1179 }, { "layer": 8, "head": 4, "score": 0.1228 }, { "layer": 10, "head": 5, "score": 0.1527 }, { "layer": 11, "head": 6, "score": 0.1244 } ] }, "positional": { "display_name": "Positional / First-Token", "description": "Always pays attention to the very first word, using it as an anchor point", "icon": "map-pin", "educational_text": "This head always pays attention to the very first word, using it as an anchor point. 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Like reading left to right, it helps track local word-by-word patterns.", "requires_repetition": false, "top_heads": [ { "layer": 0, "head": 0, "score": 0.4265 }, { "layer": 0, "head": 8, "score": 0.4268 }, { "layer": 1, "head": 2, "score": 0.5357 }, { "layer": 3, "head": 0, "score": 0.6184 }, { "layer": 3, "head": 1, "score": 0.4325 }, { "layer": 3, "head": 2, "score": 0.806 }, { "layer": 7, "head": 7, "score": 0.5853 }, { "layer": 11, "head": 6, "score": 0.4075 } ] }, "induction": { "display_name": "Induction", "description": "Completes repeated patterns: if it saw [A][B] before and now sees [A], it predicts [B]", "icon": "repeat", "educational_text": "This head finds patterns that happened before and predicts they'll happen again. If it saw 'the cat' earlier, it expects the same words to follow.", "requires_repetition": true, "suggested_prompt": "Try: 'The cat sat on the mat. The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 4, "head": 6, "score": 0.4372 }, { "layer": 4, "head": 8, "score": 0.5494 }, { "layer": 4, "head": 10, "score": 0.3222 }, { "layer": 5, "head": 7, "score": 0.2877 }, { "layer": 6, "head": 6, "score": 0.272 }, { "layer": 8, "head": 2, "score": 0.2958 }, { "layer": 8, "head": 11, "score": 0.3824 }, { "layer": 9, "head": 5, "score": 0.2983 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. The cat slept.' to see duplicate-token heads light up.", "top_heads": [ { "layer": 0, "head": 7, "score": 0.2944 }, { "layer": 1, "head": 6, "score": 0.4044 }, { "layer": 2, "head": 10, "score": 0.1303 }, { "layer": 3, "head": 3, "score": 0.4733 }, { "layer": 6, "head": 10, "score": 0.1179 }, { "layer": 8, "head": 4, "score": 0.1228 }, { "layer": 10, "head": 5, "score": 0.1527 }, { "layer": 11, "head": 6, "score": 0.1244 } ] }, "positional": { "display_name": "Positional / First-Token", "description": "Always pays attention to the very first word, using it as an anchor point", "icon": "map-pin", "educational_text": "This head always pays attention to the very first word, using it as an anchor point. The first token serves as a 'default' position when no other token is specifically relevant.", "requires_repetition": false, "top_heads": [ { "layer": 0, "head": 11, "score": 0.998 }, { "layer": 10, "head": 0, "score": 0.8874 }, { "layer": 10, "head": 3, "score": 0.9408 }, { "layer": 10, "head": 7, "score": 0.9263 }, { "layer": 10, "head": 8, "score": 0.9309 }, { "layer": 10, "head": 10, "score": 0.941 }, { "layer": 10, "head": 11, "score": 0.9111 }, { "layer": 11, "head": 1, "score": 0.8899 } ] }, "diffuse": { "display_name": "Diffuse / Spread", "description": "Spreads attention evenly across many words, gathering general context", "icon": "expand-arrows-alt", "educational_text": "This head spreads its attention evenly across many words, gathering general context rather than focusing on one spot. 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The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 4, "head": 9, "score": 0.2131 }, { "layer": 5, "head": 1, "score": 0.3884 }, { "layer": 7, "head": 5, "score": 0.3843 }, { "layer": 8, "head": 0, "score": 0.2705 }, { "layer": 8, "head": 4, "score": 0.2791 }, { "layer": 9, "head": 7, "score": 0.2768 }, { "layer": 10, "head": 10, "score": 0.1159 }, { "layer": 11, "head": 11, "score": 0.1302 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. 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Like reading left to right, it helps track local word-by-word patterns.", "requires_repetition": false, "top_heads": [ { "layer": 0, "head": 5, "score": 0.5048 }, { "layer": 0, "head": 11, "score": 0.6743 }, { "layer": 0, "head": 13, "score": 0.6697 }, { "layer": 1, "head": 0, "score": 0.5604 }, { "layer": 1, "head": 9, "score": 0.7856 }, { "layer": 2, "head": 0, "score": 0.5918 }, { "layer": 8, "head": 7, "score": 0.8704 }, { "layer": 15, "head": 2, "score": 0.7325 } ] }, "induction": { "display_name": "Induction", "description": "Completes repeated patterns: if it saw [A][B] before and now sees [A], it predicts [B]", "icon": "repeat", "educational_text": "This head finds patterns that happened before and predicts they'll happen again. If it saw 'the cat' earlier, it expects the same words to follow.", "requires_repetition": true, "suggested_prompt": "Try: 'The cat sat on the mat. The cat' \u2014 the repeated 'The cat' lets induction heads activate.", "top_heads": [ { "layer": 9, "head": 10, "score": 0.4091 }, { "layer": 9, "head": 11, "score": 0.3163 }, { "layer": 9, "head": 13, "score": 0.6021 }, { "layer": 11, "head": 10, "score": 0.5207 }, { "layer": 11, "head": 12, "score": 0.4955 }, { "layer": 13, "head": 9, "score": 0.3245 }, { "layer": 16, "head": 2, "score": 0.5041 }, { "layer": 16, "head": 12, "score": 0.4 } ] }, "duplicate_token": { "display_name": "Duplicate Token", "description": "Notices when the same word appears more than once", "icon": "clone", "educational_text": "This head notices when the same word appears more than once, like a highlighter for repeated words. It helps the model track which words have already been said.", "requires_repetition": true, "suggested_prompt": "Try a prompt with repeated words like 'The cat sat. The cat slept.' to see duplicate-token heads light up.", "top_heads": [ { "layer": 2, "head": 2, "score": 0.4927 }, { "layer": 2, "head": 4, "score": 0.3209 }, { "layer": 3, "head": 0, "score": 0.3497 }, { "layer": 3, "head": 4, "score": 0.6291 }, { "layer": 6, "head": 5, "score": 0.2516 }, { "layer": 7, "head": 7, "score": 0.4694 }, { "layer": 7, "head": 11, "score": 0.3001 }, { "layer": 13, "head": 2, "score": 0.2978 } ] }, "positional": { "display_name": "Positional / First-Token", "description": "Always pays attention to the very first word, using it as an anchor point", "icon": "map-pin", "educational_text": "This head always pays attention to the very first word, using it as an anchor point. The first token serves as a 'default' position when no other token is specifically relevant.", "requires_repetition": false, "top_heads": [ { "layer": 3, "head": 5, "score": 0.9842 }, { "layer": 9, "head": 7, "score": 1.0 }, { "layer": 9, "head": 9, "score": 0.9983 }, { "layer": 11, "head": 7, "score": 1.0 }, { "layer": 11, "head": 11, "score": 0.999 }, { "layer": 11, "head": 13, "score": 1.0 }, { "layer": 16, "head": 1, "score": 0.9983 }, { "layer": 20, "head": 11, "score": 0.9835 } ] }, "diffuse": { "display_name": "Diffuse / Spread", "description": "Spreads attention evenly across many words, gathering general context", "icon": "expand-arrows-alt", "educational_text": "This head spreads its attention evenly across many words, gathering general context rather than focusing on one spot. 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