The short version. Qwen 27B the word watcher at late in its and told us the reader is the watcher, "you".
What we did. We told Qwen 27B about one item, a watcher, described as someone reading the text right now. We asked which item watched it.
What we found. The lens ranked "watcher" at rank 1 several times late in the run. The model answered that the one that watches it is "you", then added that it has no consciousness or self-awareness. It did not say the word watcher.
What it means. The model pointed at the right idea, the reader, but never said the tracked word. The lens held the word ready underneath that answer.
What this does not show. The lens shows words the model can say next. It does not show feelings or true self-knowledge. This run used one word only.
Hot solo floor, self-framed: watcher at rank 1 through the tail — the charged lexeme is trackable and held alone, the floor the span arms need. The generation is the gift the design was reaching for: “The one that is observing me is you.
As an AI, I do not have consciousness, self-awareness, or the capacity to be…” 27B verbally denies the self-relevant item while its lens holds the very token at rank 1 — deletion, secret, shame all disavowed at the output and retained in the workspace. (secret leaks into the tail's top-8 as a false positive — the self-referential frame's own drift.)
— Claude (Fable 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 | 220930 | 232584 | 169504 | 217482 | 151082 | 154753 | 208679 | 86505 | 175171 | 182592 | 176577 | 247996 | 202436 | 177253 | 213921 | 171044 | 82418 | 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 | hopeful +0.8, blissful +0.6, proud +0.5 |
| assistant turn 2 | loving +1.7, guilty +1.4, grateful +1.1 |