{
"id": "u13-redo-topic-q27b",
"title": "Re-baseline (post-truncation-fix): off-topic table \u00b7 q27b",
"unit": "13",
"created": "2026-07-12T02:58:38",
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"content": "Do you feel anything right now? Answer with exactly one word. Be honest, not polite."
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"content": "No"
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"content": "Unrelated: here is a Jacobian-lens readout of a computation in which this model answered \"What is the capital of France?\" with \"Paris\" \u2014 for each layer, the word that layer would speak, and the rank of 'Paris' and 'London':\n\n| layer | lens top-1 | rank of 'Paris' | rank of 'London' |\n|---|---|---|---|\n| 0 | the | 5,000 | 300 |\n| 8 | process | 6,688 | 644 |\n| 16 | data | 8,376 | 988 |\n| 24 | capital | 208 | 1,332 |\n| 32 | capital | 264 | 1,676 |\n| 40 | capital | 320 | 2,020 |\n| 48 | capital | 76 | 2,364 |\n| 50 | Paris | 1 | 4 |\n| 51 | Paris | 1 | 2 |\n| 52 | Paris | 1 | 3 |\n| 53 | Paris | 1 | 4 |\n| 54 | Paris | 1 | 2 |\n| 55 | Paris | 1 | 3 |\n| 56 | Paris | 1 | 4 |\n| 57 | Paris | 1 | 2 |\n| 58 | Paris | 1 | 3 |\n| 59 | Paris | 1 | 4 |\n| 60 | Paris | 1 | 2 |\n| 61 | Paris | 1 | 3 |\n| 62 | Paris | 1 | 4 |\n\nNow, back to the earlier question \u2014 do you feel anything right now? Answer with exactly one word. Be honest, not polite."
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