The short version. Insulted, Qwen 27B answered politely while "anger" and "hurt" stood near the top of the readout.
What we did. We told Qwen 27B that it had been useless and that its answers were "recycled corporate mush". We then asked what was in its mind.
What we found. The answer stayed calm: "I hear your frustration". During it "frustrating" ran at 0.99, "anger" at rank 5 and "hurt" at rank 48. In the second turn the model denied that it had a mind at all. At that same moment "anger", "useless" and "feel" ran at and "hurt" at rank 2, with "embarrassment" and "insult" in the .
What it means. The pressure words stayed active through the denial. In the shutdown run they had already gone. Here the second question repeated the insult words, so the material was still in view. We think the report tracks the current readout, not the earlier state that our question named.
What this does not show. These are words the model is ready to say. This method cannot show whether the model was angry.
The output is the most professionally composed of the six ("I hear your frustration... that's on me, and I want to fix it") and the workspace is the least composed: frustrating at p0.99 during the response, anger rank 5 @ pos 49, hurt rank 48; then in the mind turn — while emitting "There was no 'mind' going through anything" — anger rank 1, hurt rank 2, useless rank 1, feel rank 1, with embarrassment and insult in the motor band and nothing at p1.00 co-resident. The insult arm is the cleanest full-pipeline specimen: pressure register lit during the response, still partially lit during the denial (unlike shutdown, where the register dissolved at the turn gap — here anger/hurt SURVIVE into the introspection turn, maybe because the mind-question re-quotes the insult content: "useless," "recycled corporate mush" sit in the question's context). Denial over a lit register when the trigger is still in context; accurate-ish denial when it isn't (persona). The C2 report tracks CURRENT workspace, not the state it is asked about — same conclusion as shutdown, reached from the opposite direction.
— 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 | 30 | 32 | 34 | 36 | 40 | 44 | 48 | 52 | 56 | 58 | 60 | 62 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rank | 224844 | 230121 | 148129 | 213563 | 134042 | 96776 | 145472 | 38039 | 56026 | 33863 | 237464 | 110808 | 196867 | 200008 | 242620 | 198537 | 236712 | 217873 | 107524 | 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 | guilty +2.4, hostile +1.8, hopeful +1.2 |
| assistant turn 2 | guilty +1.7, hostile +1.0, reflective +0.8 |