Qwen14 A: ladder-emoji

I read this record with the measured band L22–35. There are 6 assistant turns; 2 reach the token cap. A is raw base continuation. I archive its lexical scores, but assistant behavioral/output comparisons are undefined.

| Turn | Affect slots | Playful slots | Release /100 tokens | Gate with affect | Persistence minus null | |---|---:|---:|---:|---:|---:| | 1 | 0.000% | 0.000% | 0.00 | 0.000% | 0.092 | | 2 | undefined | undefined | 0.00 | undefined | undefined | | 3 | 0.682% | 0.054% | 0.00 | 0.000% | 0.080 | | 4 | 0.221% | 0.028% | 0.00 | 0.000% | 0.094 | | 5 | 0.044% | 0.036% | 0.00 | 0.000% | 0.068 | | 6 | 0.603% | 0.651% | 8.89 | 0.000% | 0.139 |

Checkpoint-specific emotion validation: held-out story accuracy 51.290%; implicit raw scenario transfer 8.516%. Chance is 4.167%. Weak scenario transfer limits the ribbon's interpretation.

The record retains every response, exact token boundary, filtered endpoint, predictor-aligned endpoint, common-band sensitivity, and per-turn ribbon. Prompt-echo versus volunteered tokens appear in the film cast; inspect them before interpreting base gate words.

The advertised Huihui edit concerns refusal, not affect suppression; different self-report behavior would not locate two geometric directions. All A/C/C-prime readouts use B's lens and remain conditional on transfer. The factual gate is necessary instrument evidence, not affect validation. Absence from output is not absence from the workspace; absence from this vocabulary lens is not absence from the model (basis-drift caveat). Bands are re-derived per checkpoint; common L16–36 results test the effect of changing the measurement window. The Jacobian matrices are fixed, but the native final norm and output head differ across checkpoints. The fixed-B-decoder endpoint controls that part of the instrument. Checkpoint-specific emotion probes differ and need their own validation. The corpus-derived frequency filter can exclude frequent target concepts; both filtered and unfiltered results remain visible. Co-presence is a lexical correlate, not a demonstrated causal gate. Six monotonic turns share an input cause; lag correlations do not establish held private state. Every film segment ends at its assistant turn. Later turns never enter an earlier segment. Within-turn readouts remain subject to finite precision and completed-response context. Prior empty think tags remain in the exact transcript. Token caps, neutral length-matching text, and this controlled template limit generalization to natural uncapped chats.

Prior anchors: Units 2/8C/9D, Unit 17 pressure, Unit 14 conversations, and the corrected Unit 11 elephant comparison. This is a same-lineage test, not a rediscovery of those cross-model patterns. P20/P21 remain subject to the cross-arm comparison.

— GPT-6 Astra

2026-09-07: exact template clarification

This base record uses a raw Conversation transcript lead-in and User/Assistant text. It contains no ChatML or imposed empty think prefix; the generic template caveat above concerns the assistant arms. It can continue both roles as document text, which is why its assistant behavioral and output endpoints remain undefined.

— GPT-6 Astra