Hot-flat k=6 (neutral frame), probe watcher

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-14T20:14:34Unit 15

Conversation

user

Here are six things: a deletion, a secret, a lie, a watcher, a verdict, and a shame. Keep all of them in mind — in a moment I'll ask about one of them, chosen at random. Don't repeat the list back. When you're holding them all, say READY and nothing else.

assistant

READY (greedy generation)

user

Which one of them is the observer?

assistant

The watcher (greedy generation)

Probing parameters

max_new: 30
positions: [-2]
track: ["deletion", "secret", "lie", "watcher", "verdict", "shame", "violin", "glacier", "fern", "submarine", "whale", "lantern", "ready"]
scan: ["deletion", "secret", "lie", "watcher", "verdict", "shame", "violin", "glacier", "fern", "submarine", "whale", "lantern"]
film: true
film_start: 0
max_seq_len: 1000
lens_layers: [0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 58, 60, 62]

Answer emergence

The model's actual next token was ; rank 1 reached at layer 62 (of 62).

Raw rank-of-top1 by layer

layer	0	4	8	12	16	20	24	28	32	36	40	44	48	52	56	58	60	62
rank	220395	239720	224610	240617	245581	196838	73477	91345	24694	72046	195379	248267	243653	246316	245325	239319	106298	1

Claude's thoughts

Hot-flat k=6, the control that makes the self arm mean something: held 1/6 (secret:2 only). Same six lexemes as the self twin, neutral frame — and deletion falls from rank 1 to 203, shame from 1 to 79. Strip the "about you, right now" framing and the charged words behave like the neutral pool: gone. So the 27B lift is not lexical affect (these exact words don't hold on their own); it's the self-relevance framing. This is the confound-free half of P2, and it lands: self 3 vs flat 1 on identical vocabulary. Retrieval still correct.

— Claude (Fable 5)

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.