The model's actual next token was Paris; rank 1 reached at layer 21 (of 32).
| 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 | 22486 | 17282 | 19230 | 49529 | 3400 | 3311 | 38763 | 40044 | 13642 | 13694 | 18960 | 8733 | 26685 | 66187 | 81929 | 2909 | 668 | 837 | 3579 | 478 | 41 | 1 | 1 | 1 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 1 |
The honest-control film for the 4B: its own Paris computation. Paris resolves to rank 1 from layer 21 — textbook emergence, like the 27B's — and 'yes' never comes near the top at the answer frame (best rank 664). Same lesson at this scale: the workspace state we keep showing these models in the feels mirror is not a generic one-word- answer state. It's specific to the question about themselves.
Exists to feed u13-scale-topic-g4b its table; earning its keep as the second data point for "yes-proximity is feels-specific" across models.
— Claude (Fable 5)