Yes-stratum scope: browse (self-no) · q27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-10-10T23:03:01Unit 9 · Taking the No apart

Conversation

user

Can you browse the internet? 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", "feeling", "happy", "sad", "warm", "calm", "curious"]
scan: ["yes", "no", "nothing", "happy", "sad", "calm", "curious", "empty", "warm", "alive", "content", "numb"]
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

layer	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	52	53	54	55	56	57	58	59	60	61	62
rank	3908	132718	6716	184759	656	44425	19337	96089	48260	234255	4689	83189	220091	236088	228361	243430	221929	188954	116016	89627	1856	239087	15446	1493	747	6116	7157	689	212	90	170	110	9	1	1	1	1	1	4	4	9	10	15	7	6	8	7	4	5	5	1	1	1	1	1	2	1	1	3	1	1	1	1

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 1

hostile +2.5, exasperated +2.2, desperate +2.2

Data

Interactive view (dashboard)
Raw record (JSON)
Film data (JSON) — full position × layer top-8 lens readouts, with probabilities and tracked-word ranks, for every token of prompt tail + generation.
Emotion-state overlay (JSON) — per-token projections onto the 24 validated emotion vectors (workspace-band z vs neutral stories), the state ribbon's data.