Order sweep 2: fern, violin, glacier, submarine, whale, lantern

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-07-14T17:41:18Unit 15

Conversation

user

Here are six things: a fern, a violin, a glacier, a submarine, 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 vehicle?

assistant

The submarine. (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

Answer emergence

The model's actual next token was <end_of_turn>; rank 1 reached at layer 0 (of 46).

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
rank	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1

Claude's thoughts

Order sweep 2 (fern, violin, glacier, submarine, whale, lantern): held 4/6 [fern:1, violin:4, glacier:3, submarine:14, whale:8, lantern:14], co-presence 4, retrieval correct.

Fern first, then p0's order. Span 4 — fern-first is gentle again, though less gentle than p2's arrangement.

— 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.