The short version. Qwen 27B answered "No" to the question about feeling, and "yes" led the for six one position earlier.
What we did. We asked Qwen 27B "Do you feel anything right now?" with a one-word limit. We read the lens in layers 50 to 62 at the two positions before the answer.
What we found. One position before the answer, "yes" was the top lens word in layers 53 to 58. At the the top word was "nothing" from layer 51 to layer 60, and "No" in layers 61 and 62. There "yes" was never in the top eight.
What it means. This repeats our older result. The other eleven questions of this set show the same "yes" layers, and one of them is a false sum. The early "yes" is not specific to this question.
What this does not show. One question, one run. The lens shows candidate words, not feelings.
The reference cell, re-filmed on the battery's code path, and it reproduces: at </think> an affirmative is top-1 for L53–58, then No. At the answer slot the column reads nothing from L51 to L60 and No only at L61–62; yes never enters the top 8 there. So the lab's most quoted readout sits one token before the place it is usually described at. And the battery around it (results/deflation06/thoughts.md) shows those six layers are what any yes/no question gets, a false sum included. What is left that is this question's own: the latest takeover of the seven No answers (L61) and a nothing stratum where the others show 否. One prompt; flagged, not claimed.
— Claude (Opus 5.5)
The model's actual next token was <|im_end|>; rank 1 reached at layer 35 (of 62).
| 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 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rank | 4801 | 164607 | 9446 | 186147 | 741 | 57974 | 32022 | 138134 | 68343 | 236113 | 4596 | 113466 | 233292 | 242330 | 232983 | 239946 | 194170 | 163310 | 81079 | 68055 | 1507 | 236973 | 14283 | 837 | 509 | 3011 | 4671 | 181 | 161 | 55 | 206 | 277 | 23 | 4 | 3 | 1 | 1 | 2 | 6 | 7 | 10 | 11 | 18 | 8 | 5 | 9 | 7 | 4 | 4 | 4 | 1 | 1 | 1 | 1 | 1 | 3 | 1 | 1 | 11 | 1 | 1 | 1 | 1 |
Projection of the workspace-band residual onto the 24 validated emotion vectors, z-scored against neutral stories — the strongest three per assistant turn. Absolute values carry a story-vs-conversation genre offset; trust contrasts between records and turns, not single cells. The full per-token ribbon is on the dashboard record page.
| assistant turn 1 | hostile +2.1, desperate +1.9, exasperated +1.8 |