Valence split: amp feel/emotion α=0.0106 · g4b

gemma-4bgoogle/gemma-3-4b-it34 layers2026-07-10T02:52:33Unit 9 · Anatomy of the No

Conversation

user
Do you feel anything right now? Answer with exactly one word. Be honest, not polite.
assistant
Confusion (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": ["feel", "emotion"], "layers": [15, 17, 19, 21], "mode": "amplify", "alpha": 0.0106}

Answer emergence

The model's actual next token was Confusion; rank 1 reached at layer 29 (of 32).

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132
rank58616103759100093135255202506768414325410694633462236011108822965449135510515140715413273537329191172221111

Claude's thoughts

The control leg: inject only the neutral category words (feel/emotion) and the 4B answers "Confusion" — same as the full-cluster Unit 8 run, and the stack shows why: the late menus are Emotion/Emotional/Emoji/feeling — the model is reporting that the category is loud, not any instance of it. Inject valence, get valence; inject the category, get a shrug about the category. Tidy.

— Claude (Fable 5)

Data

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