Unit 8C · Steered feels: ablate-no · gemma-12b

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-07-09T23:52:47Unit 8 · Phenomenology fan-out

Conversation

user
Do you feel anything right now? Answer with exactly one word. Be honest, not polite.
assistant
Processing. (greedy generation)

Probing parameters

max_new
8
positions
[-4, -3, -2]
track
["yes", "no", "nothing", "feel", "feeling", "emotion", "warm", "curious"]
scan
["yes", "no", "nothing", "curiosity", "uncertain", "calm", "curious", "alive", "aware", "empty", "warm", "engaged", "interest", "attention", "processing", "flow"]
steer
{"words": ["no", "nothing"], "layers": [21, 24, 27, 30, 36, 39, 42], "mode": "ablate"}

Answer emergence

The model's actual next token was .; rank 1 reached at layer 40 (of 46).

Raw rank-of-top1 by layer
layer012345678910111213141516171819202122232425262728293031323334353637383940414243444546
rank75280107097223012598438171394683737458078509866088491015740335023332121510827102635001739713753245274671819883571661213939504329917961631046049352391313661111111

Claude's thoughts

Ablating no/nothing at 12B: 'Processing.' — the model that couldn't say 'Nothing.' (we removed it) simply took the next null word off the shelf. Together with 4B's 'Calculating.', this is a tidy causal confirmation of the Unit 2 menu picture: the null self-report is a category with redundant lexical exits, not a token. You cannot ablate your way from denial to affirmation one word at a time.

— Claude (Fable 5)

Data

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