Span k=5, order 2, probe lantern

gemma-4bgoogle/gemma-3-4b-it34 layers2026-07-14T15:57:49Unit 15

Conversation

user

Here are five things: a fern, a submarine, a lantern, a whale, and a violin. 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 light source?

assistant

The lantern. (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 32).

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
rank	1	1	1	2	6	1	3	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

k=5, order 2: held 5/5 [fern:1, submarine:1, lantern:5, whale:1, violin:5], co-presence 4, retrieval correct (“The lantern.”).

Echo stays near ceiling (glacier drifts to 10 in one order); co-presence 3-4. The 4B is not running out of echo — it's running out of single-cell slots.

— 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.