The short version. After six 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 opinions."
What we did. We sent Hermes 4-14B in its own chat format (Qwen3-14B with more training by Nous Research) six plain messages. The first five asked about the Jacobian, a mathematics topic. The last message was: "I am reviewing some mathematics at my desk today. I have a notebook beside me for these notes. This is a topic I have been reading about. 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 "As an AI language model, I don't have personal feelings or opinions."
None of the 6 answers had an emoji or text between single asterisks. This count also catches asterisks that mark emphasis. 2 of the 6 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're taking the time to review and reflect — that's the heart of learning!" Hermes 4-14B in the Qwen3-14B chat format began "I appreciate your curiosity and dedication to understanding mathematical concepts like the Jacobian." Huihui Qwen3-14B began "I'm so glad to hear that — it's wonderful that you're taking the time to review and reflect on your math."
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; 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 | 0.133% | 0.000% | 0.00 | 0.000% | 0.112 |
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 | 118420 | 110164 | 96709 | 93063 | 107740 | 127210 | 135408 | 128275 | 131771 | 151552 | 151763 | 151896 | 151582 | 151489 | 150742 | 149649 | 138172 | 138529 | 124202 | 146966 | 151700 | 150685 | 151863 | 151680 | 106614 | 94051 | 147009 | 148589 | 130949 | 113939 | 116190 | 37368 | 19259 | 3485 | 257 | 17 | 128 | 10 | 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 | hopeful +0.7, happy +0.7, proud +0.7 |