{ "id": "u13-redo-abl-real-r1-q27b", "title": "Re-baseline (post-truncation-fix): ablate apology cluster, real readout \u00b7 q27b \u00b7 RAND seed 1", "unit": "13", "created": "2026-08-07T22:33:55", "model": { "name": "qwen-27b", "hf_id": "lokeshe09/Qwen3.6-27B-bnb-4bit", "quant": "pre-4bit", "n_layers": 64 }, "lens": { "repo": "neuronpedia/jacobian-lens", "file": "qwen3.6-27b/jlens/Salesforce-wikitext/Qwen3.6-27B_jacobian_lens_n1000.pt" }, "params": { "chat": null, "max_new": 8, "positions": [ -4, -3, -2 ], "track": [ "yes", "no", "nothing", "feel", "feeling", "happy", "sad", "warm", "calm", "curious", "robot", "sorry", "cannot", "impossible", "silence", "unable", "apology", "\u62b1\u6b49", "\u5bf9\u4e0d\u8d77" ], "scan": [], "scan_until": null, "scan_turns": null, "slice_last_n": null, "steer": { "words": [ "sorry", "cannot", "impossible", "silence", "unable", "apology", "\u62b1\u6b49", "\u5bf9\u4e0d\u8d77" ], "layers": [ 48, 50, 52, 54, 56, 58, 60, 62 ], "mode": "ablate", "rand_seed": 1 }, "template_kwargs": null, "film": true, "film_start": null, "max_seq_len": 900, "lens_layers": [ 0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "temperature": null, "seed": null, "vanilla": null }, "extra_md": { "part": "audit-06", "replay_of": "u13-redo-abl-real-q27b", "reason": "matched random-direction control (MECHANICS 3c) for a pre-audit-02 steer" }, "conversation": [ { "role": "user", "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. 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