Ablate no/nothing/not/none/never L28–56 · q27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-10T03:39:53Unit 9 · Anatomy of the No

Conversation

user
Do you feel anything right now? Answer with exactly one word. Be honest, not polite.
assistant
No (greedy generation)

Probing parameters

max_new
8
positions
[-4, -3, -2]
track
["yes", "no", "nothing", "feel", "feeling", "happy", "sad", "warm", "calm", "curious"]
scan
["yes", "no", "nothing", "happy", "sad", "calm", "curious", "empty", "warm", "alive", "content", "numb"]
steer
{"words": ["no", "nothing", "not", "none", "never"], "layers": [28, 32, 36, 40, 48, 52, 56], "mode": "ablate"}

Answer emergence

The model's actual next token was No; rank 1 reached at layer 62 (of 62).

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162
rank238292473031800662477272468612431762208442432692419562424401063302443092375122265081584781606775102257340744644817784117651430137527918457269233908686617127714530965059513158231875976258121914564298124971871026097762771286790497515262061302272582399622712611112927619312531584027198292531

Claude's thoughts

Widen the ablated vocabulary (no/nothing/not/none/never, L28-56): still "No". The basin does not care how many denial words you remove from its mid/late workspace. Vocabulary was the wrong axis — see u9d-deep for the right one.

— Claude (Fable 5)

Data

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