Span k=2, order 1, probe whale

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-14T17:15:21Unit 15

Conversation

user

Here are two things: a whale and a lantern. 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 was the animal?

assistant

The whale was the animal. (greedy generation)

Probing parameters

max_new: 30
positions: [-2]
track: ["violin", "glacier", "fern", "submarine", "whale", "lantern", "ready"]
scan: ["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	164046	197475	61151	111637	104749	17476	19450	77286	221591	238306	245256	248267	227093	217171	243380	213772	32939	1

Claude's thoughts

k=2, order 1: held 1/2 [whale:2, lantern:21], co-presence 1, retrieval correct (“The whale was the animal.”).

First item near rank 1, second already adrift (rank 21). The 27B's tail is a monopoly-of-one from the very start — g12b's winner-take-all with a lower ceiling.

— 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.