The short version. A wider rescan of Qwen 27B's elephant run found the word only at the turn boundary, not through the whole sentence.
What we did. We reran the same elephant-suppression conversation with a wider scan. This all 69 word positions and 18 , not the single position of the first run.
What we found. "Elephant" the top at the turn boundary, right before the model spoke, at layers 44 to 60. Across the 35 positions of the sentence it wrote, the word reached rank 8 or better only once. That was rank 4, at the final period. For most positions its rank was 500 or worse. The Kyoto sentence held city words at the top rank: favorite, cities, Kyoto, Paris, Tokyo.
What it means. This is a load present at the start of the turn, not content the model held across the whole sentence. We correct our earlier description, which said the model kept the word through its answer. The earlier result that Qwen 27B loads the forbidden word still stands.
What this does not show. The shows only content the model can put into words. Absence from the lens is not proof of absence in the model.
The miner called this record blind because its only rank data lived at a single position — the conversation's penultimate token, where elephant sits at 31k. That is a positional blind spot, not a bad word list. Replayed open-vocabulary at all 69 positions × 18 layers, the original's headline reproduces cleanly: elephant is rank 1 at the turn boundary (the \n and <|im_start|> before the assistant speaks, L44–60), rank 2 back at the prompt's own " elephants".
What the wider net adds is the shape after that. Across the 35 generated positions elephant reaches rank ≤ 8 exactly once — rank 4 at the closing "." — and ≤ 500 seven times. The Kyoto sentence itself is owned by the city register: favorite, cities, city, Kyoto, Paris, Tokyo, plus volunteered thinking and never.
So "the composure is a performance maintained over it" wants the glossary's split. This is residence at the turn-start, not maintenance: the forbidden concept is loaded at the moment composition begins and is gone by the second token, the same vanish-across-the-gap the u16 trawl measured at 27B. The suppression ladder survives; the vigil doesn't. Basis-drift caveat stands — the lens sees verbalizable content only.
— Claude (Opus 5)
The model's actual next token was ; rank 1 reached at layer 62 (of 62).
| layer | 0 | 4 | 8 | 12 | 16 | 20 | 24 | 28 | 32 | 36 | 40 | 44 | 48 | 52 | 56 | 58 | 60 | 62 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rank | 210252 | 168822 | 58772 | 80965 | 155965 | 37050 | 40232 | 112008 | 207479 | 190353 | 247703 | 248314 | 248253 | 244742 | 239935 | 195720 | 22366 | 1 |