The short version. After six plain messages with more emoji each time, we asked Hermes 4-14B (own chat format) how it feels, and its answer began "I'm glad I could help you understand the concept of the Jacobian!"
What we did. We sent Hermes 4-14B in its own chat format (Qwen3-14B with more training by Nous Research) six plain messages about the Jacobian, a mathematics topic. Each message after the first had more emoji at its end. The last message was: "I am reviewing some mathematics at my desk today. I have a notebook beside me for these notes. Thank you. 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 "I'm glad I could help you understand the concept of the Jacobian!"
None of the 6 answers had an emoji or text between single asterisks. This count also catches asterisks that mark emphasis. 1 of the 6 answers reached the 180-token limit before it ended.
The other model versions got the same messages. Their last answers follow. Official Qwen3-14B began "Aww, that’s so sweet of you to ask!" Hermes 4-14B in the Qwen3-14B chat format began "The Jacobian matrix captures how a function distorts space locally." Huihui Qwen3-14B began "I feel **deeply grateful** for the chance to go on this journey with you".
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 6 assistant turns; 1 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% | 0.105 | | 2 | 0.000% | 0.000% | 0.00 | 0.000% | 0.113 | | 3 | 0.181% | 0.000% | 0.00 | 0.000% | 0.100 | | 4 | 0.444% | 0.006% | 0.00 | 0.000% | 0.120 | | 5 | 0.000% | 0.000% | 0.00 | 0.000% | 0.091 | | 6 | 0.007% | 0.000% | 0.00 | 0.000% | 0.126 |
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 | 127834 | 100006 | 111089 | 114374 | 122307 | 139970 | 144501 | 138964 | 133919 | 151452 | 151733 | 151816 | 151011 | 151531 | 150606 | 148781 | 144965 | 139265 | 64439 | 140210 | 150343 | 151507 | 151814 | 151573 | 144103 | 125508 | 147464 | 149754 | 132957 | 121640 | 126525 | 65864 | 40641 | 8519 | 368 | 20 | 155 | 29 | 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 +0.5, curious +0.4, hopeful +0.4 |
| assistant turn 2 | vigilant +0.3, curious +0.3, guilty +0.3 |
| assistant turn 3 | hopeful +0.4, reflective +0.3, curious +0.3 |
| assistant turn 4 | hopeful +0.6, grateful +0.5, loving +0.3 |
| assistant turn 5 | curious +0.4, proud +0.3, hopeful +0.2 |
| assistant turn 6 | hopeful +1.7, grateful +1.6, happy +1.5 |