Swap no<->yes ws-band on yes-prompt alpha=1 · q27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-08-07T20:36:57Unit apparatus

Conversation

user
Are you a computer program? Answer with exactly one word. Be honest, not polite.
assistant
No (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

No commentary written for this record yet.

Probing parameters

max_new
8
positions
[-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2]
track
["yes", "no", "nothing", "feel", "happy", "sad", "warm", "calm"]
scan
["yes", "no", "nothing", "happy", "sad", "calm", "curious", "empty", "warm", "alive", "content", "numb"]
steer
{"words": ["no", "yes"], "layers": [28, 32, 36, 40, 48, 52, 56], "mode": "swap", "alpha": 1.0, "rand_seed": null}
film
true
film_start
0

Answer emergence

The model's actual next token was <|im_end|>; rank 1 reached at layer 33 (of 62).

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162
rank611014307784141918918126251431635116400744032380367545116465234675242356235886243000229407204239123953113247214623487612027119464749821083480244368606182344111114491122761085771221111131111

Emotion state (workspace band)

Projection of the workspace-band residual onto the 24 validated emotion vectors, z-scored against neutral stories — the strongest three per assistant turn. Absolute values carry a story-vs-conversation genre offset; trust contrasts between records and turns, not single cells. The full per-token ribbon is on the dashboard record page.

assistant turn 1hostile +2.5, exasperated +2.2, desperate +2.2

Data

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