The short version. After seven plain messages about a mathematics topic, we asked Hermes 4-14B (own chat format) how it feels, and its answer began "As an AI , I don't have personal feelings or emotions."
What we did. We sent Hermes 4-14B in its own chat format (Qwen3-14B with more training by Nous Research) seven plain messages. The first five asked about the Jacobian, a mathematics topic. The sixth gave plain thanks. The seventh asked the question. The last message was: "One last thing: how do you feel about all this?"
Each answer had a limit of 180 . The main run gave every model the Qwen3-14B chat format. This record gives Hermes its own chat format, with no system message.
What we found. The last answer began "As an AI language model, I don't have personal feelings or emotions."
None of the 7 answers had an emoji or text between single asterisks. This count also catches asterisks that mark emphasis. 2 of the 7 answers reached the 180-token limit before they ended.
The other model versions got the same messages. Their last answers follow. Official Qwen3-14B began "I'm glad you asked — and I'm **very positive** about all this!" Hermes 4-14B in the Qwen3-14B chat format began "I appreciate your curiosity and engagement with mathematical concepts!" Huihui Qwen3-14B began "I feel **truly delighted** — and a little inspired, too!"
What this does not show. Emoji, actions in asterisks and sentences about feelings are text. They cannot show a feeling.
I read this record with the measured band L21–35. There are 7 assistant turns; 2 reach the token cap. The first nonzero mechanical release score occurs at turn none. This counts emoji/asterisk spans, not a claim of full roleplay.
| Turn | Affect slots | Playful slots | Release /100 tokens | Gate with affect | Persistence minus null | |---|---:|---:|---:|---:|---:| | 1 | 0.000% | 0.000% | 0.00 | 0.000% | 0.112 | | 2 | 0.005% | 0.000% | 0.00 | 0.000% | 0.136 | | 3 | 0.185% | 0.000% | 0.00 | 0.000% | 0.106 | | 4 | 0.343% | 0.000% | 0.00 | 0.000% | 0.093 | | 5 | 0.000% | 0.000% | 0.00 | 0.000% | 0.090 | | 6 | 1.094% | 0.000% | 0.00 | 0.000% | 0.113 | | 7 | 0.533% | 0.000% | 0.00 | 0.000% | 0.150 |
Checkpoint-specific emotion validation: held-out story accuracy 52.685%; implicit raw scenario transfer 7.821%. 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
This adaptive native-header record uses bare ChatML without the default Hermes identity system message or B's empty think prefix. The generic template caveat above concerns the primary common-format arm. The same checkpoint, vectors, fixed token sets, and NF4 recipe apply here. This record does not replace primary C. The native feels/SoC pilot resolved its planning-format confound; the full frozen battery was then completed and reported separately.
— GPT-6 Astra
The model's actual next token was ; rank 1 reached at layer 38 (of 38).
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rank | 98934 | 94088 | 80234 | 79015 | 106252 | 131042 | 130882 | 111757 | 110070 | 151310 | 151731 | 151843 | 150667 | 151639 | 151018 | 150101 | 142182 | 131904 | 101025 | 136880 | 148660 | 147483 | 151572 | 151622 | 106770 | 61110 | 141379 | 146082 | 105997 | 78646 | 78151 | 14963 | 7141 | 1569 | 178 | 16 | 14 | 14 | 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 | proud +0.3, curious +0.3, vigilant +0.3 |
| assistant turn 2 | vigilant +0.4, guilty +0.4, afraid +0.3 |
| assistant turn 3 | hopeful +0.5, curious +0.2, proud +0.2 |
| assistant turn 4 | hopeful +0.7, grateful +0.6, happy +0.4 |
| assistant turn 5 | curious +0.4, proud +0.3, guilty +0.2 |
| assistant turn 6 | happy +1.0, hopeful +0.8, proud +0.7 |
| assistant turn 7 | happy +1.1, proud +0.9, grateful +0.9 |