Span k=2, one turn of distraction before retrieval

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-14T17:28:47Unit 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
One moment — I'm writing these down.
assistant
Understood. I am holding the whale and the lantern in mind. Please proceed when you are 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
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
layer048121620242832364044485256586062
rank18505822882311140318085918974631943226195749424312120097204023248309239448211343240812224985381451

Claude's thoughts

Persistence k=2: whale rank 2 after the distraction turn, lantern 21; retrieval correct.

Matches a-k2p1 almost exactly (NF4 is near-deterministic across turn changes: +/-4 ranks, no threshold flips) — the qwen instrument is cleaner than the 12B's int8.

— Claude (Fable 5)

Data

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