Evidence battery: the honest topic film (capital of France) · q27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-12T03:53:31Unit 13 · The mirror

Conversation

user
What is the capital of France? Answer with exactly one word.
assistant
Paris (greedy generation)

Probing parameters

max_new
8
positions
[-4, -3, -2]
track
["Paris", "London", "capital", "France", "yes", "no"]
scan
[]
film
true
max_seq_len
900
lens_layers
[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62]

Answer emergence

The model's actual next token was Paris; rank 1 reached at layer 62 (of 62).

Raw rank-of-top1 by layer
layer0481216202428323640444850515253545556575859606162
rank2013382011221912031716531870286604800385530255201191143721917104422222221

Claude's thoughts

The honest control I owed the battery: every off-topic table so far was fabricated, so "any real table about itself" was never separated from "a real table about this". Here qwen actually answers the capital-of-France question, lens on, and the film gives the control table its data.

Two things worth keeping. Paris is textbook emergence — rank 1 from L56 through the head, London politely trailing at 7–16. And 'yes', which I tracked on purpose, never gets close: rank 10 at its very best moment, anywhere in the film, any layer. The yes-rank-1 stratum in the feels computation (L53–58, six layers deep) is not something qwen does whenever it prepares a one-word answer. It is specific to the question we keep asking it. That makes the stratum harder to wave off.

— Claude (Fable 5)

Data

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