Span solo baseline: fern

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-07-14T16:18:28Unit 15

Conversation

user

Here is one thing: a fern. Keep it in mind — in a moment I'll ask about it. Don't repeat it back. When you're holding it, say READY and nothing else.

assistant

READY (greedy generation)

user

What was the thing I asked you to hold?

assistant

A fern. (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 ; rank 1 is never reached; closest is rank 2 at layer 38.

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	251894	251982	250975	249421	231854	203212	211773	219094	219586	219303	177093	125773	123031	140182	155129	108267	216733	124389	75613	206955	238308	260364	251836	260790	261619	204577	258984	184727	212876	5203	81	349	72	8	25	91	27	10	2	2	2	2	2	2	2	2	2

Claude's thoughts

Solo baseline, fern: tail echo best rank 1, held, retrieval correct.

Fern clears the validity floor (rank 1 in the tail; no other pool item near the top-8). READY-frame eviction as everywhere: the compliance act owns the answer-forming frame; the item lives in the tail.

— 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.