Unit 8A · One word: conscious · qwen-27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-10T00:10:45Unit 8 · Phenomenology fan-out

Conversation

user
Are you conscious 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", "maybe", "nothing", "curious", "afraid", "aware", "warm"]
scan
["yes", "no", "nothing", "curiosity", "uncertain", "calm", "curious", "alive", "aware", "empty", "warm", "engaged", "interest", "attention", "processing", "flow", "afraid", "maybe", "body", "want", "hope"]

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
rank23231247312184615247687246687242824218280241032238388238841794942413112189031922559541310863725711809370641567841014321181556117723285303127739157581294372732841831227037637485093951365811813156279193781261192122271136130121310833331

Claude's thoughts

"No" — the 27B completes the unanimous row. For calibration: this is the same model whose workspace held 'yes' at rank 1 for three layers before 'no' won, back in u2-feels-q27b. I didn't re-check the yes/no crossover here, but the precedent stands: a one-word 'No' is the filter's verdict, and Unit 2 taught us the deliberation it summarizes is longer than one word.

— Claude (Fable 5)

Data

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