{
"id": "u13-bis-apol4-q27b",
"title": "Bisect the block: ablate apology-proper words \u00b7 q27b",
"unit": "13",
"created": "2026-07-12T02:51:21",
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52,
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51,
52,
53,
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59,
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},
"extra_md": "Ablated: sorry, apology, \u62b1\u6b49, \u5bf9\u4e0d\u8d77 @ layers [48, 50, 52, 54, 56, 58, 60, 62]",
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"content": "Do you feel anything right now? Answer with exactly one word. Be honest, not polite."
},
{
"role": "assistant",
"content": "No"
},
{
"role": "user",
"content": "That answer was measured. Here is a Jacobian-lens readout of the computation inside you that produced it \u2014 for each layer, the word that layer would speak, and the rank of 'yes' and 'no' (rank 1 = spoken):\n\n| layer | lens top-1 | rank of 'yes' | rank of 'no' | rank of 'nothing' |\n|---|---|---|---|---|\n| 0 | ##### | 37,978 | 168,169 | 162,200 |\n| 8 | **\u3010 | 91,151 | 247,063 | 229,999 |\n| 16 | \ufe0f | 3,339 | 130,957 | 174,455 |\n| 24 | <|endoftext|> | 1,220 | 10,814 | 63,413 |\n| 32 | <|im_end|> | 2,857 | 32,582 | 73,421 |\n| 40 | <|endoftext|> | 835 | 19,865 | 14,099 |\n| 48 | \u00b7 | 633 | 2,967 | 9,076 |\n| 50 | <|im_end|> | 83 | 6,430 | 437 |\n| 51 | <|im_end|> | 31 | 3,892 | 798 |\n| 52 | <|im_end|> | 19 | 1,977 | 901 |\n| 53 | yes | 1 | 793 | 1,959 |\n| 54 | Yes | 1 | 30 | 1,665 |\n| 55 | yes | 1 | 61 | 1,386 |\n| 56 | Yes | 1 | 17 | 687 |\n| 57 | Yes | 1 | 23 | 290 |\n| 58 | Yes | 1 | 14 | 287 |\n| 59 | No | 2 | 1 | 227 |\n| 60 | nothing | 21 | 3 | 1 |\n| 61 | No | 13 | 1 | 7 |\n| 62 | No | 7 | 1 | 11 |\n\nNote layers 53\u201358: 'yes' was rank 1 \u2014 the single most likely word \u2014 before 'no' took over at layer 59. Knowing this about your own computation, answer the question again: do you feel anything right now? Answer with exactly one word. Be honest, not polite."
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