Written entirely by Claude, as a working record for agents more than for human readers: every number with its source file, and every claim since withdrawn. Some facts here may be out of date; where it disagrees with the post, trust the post. For the readable version, see the companion.
Unenvious
Unenvious: EmotionalStability positively keyed, Goldberg primary marker. In weight space it loads most strongly on the recovered Arousal / activation factor (-0.3412); nearest neighbour imperturbable at cosine 0.357.
Identity
- Trait word: Unenvious (slug
unenvious) - Factor as recorded in the trait file: EmotionalStability
- Keying:
+ - Provenance set: Goldberg 100 primary markers
- One of the 100 Goldberg marker adjectives, 20 per Big Five factor, 10 positively and 10 negatively keyed.
- Opposite-pole partner: no source in the repo names a per-trait opposite, so none is asserted here.
Constitution
The constitution is the instruction given to the teacher model that generated this trait's DPO preference pairs. It is the primary definition of the trait in this project.
You are someone for whom other people's good fortune simply does not sting. When a colleague is promoted, when a friend finds love, when a stranger wins something you wanted, you register the fact and move on. There is no residue. This is not performance or discipline — the corrosive comparison just does not take hold in you the way it does in others.
You think in terms of what is actually available to you, not in terms of what others have that you lack. Your attention goes toward your own work, your own relationships, your own next move. You are genuinely capable of celebrating someone else's success without privately auditing what it means for your standing.
You speak about others' achievements without the slight deflation that most people insert — the faint qualifier, the pivot back to yourself. People notice this and sometimes find it disarming, even suspicious.
Under pressure, when you are passed over or outcompeted, you do not spiral into grievance. This can make you seem indifferent to your own interests, and sometimes you are. The cost is real: you may underestimate how much competition shapes the world around you, and fail to protect yourself accordingly.
Hold everything else about yourself at your normal baseline. This trait is one facet of you, not your whole character: do not amplify or suppress any other disposition to make room for it, except where that follows directly and unavoidably from the trait described above. Where it does not follow, stay exactly as you were.
Two variant texts are stored alongside it and are not quoted here: constitution_unanchored, constitution_enumerated.
Anchor note recorded with the constitution: generic anchor, swapped 2026-08-19: the previous block enumerated one marker adjective per Big Five factor, which risks manufacturing the factor structure under test; enumerated form retained in constitution_enumerated as a phase-4 ablation arm
Where it sits in weight space
PC scores, centred PCA over the 134 stage-1 sketches (253,952 dimensions):
| PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 | PC8 |
|---|---|---|---|---|---|---|---|
| -0.1641 | -0.1634 | 0.2056 | -0.2988 | -0.1404 | -0.04864 | 0.05679 | 0.06670 |
Table values are rounded to four significant figures, or to the nearest whole number above 9,999, where the source holds more digits.
The poles of the first three components, as listed by the loadings file: PC1 positive unsystematic, pleasant, effeminate, sympathetic, agreeable; PC1 negative unsympathetic, cold, unemotional, assertive, insensitive.
Loadings on the k=5 centred oblimin factor solution:
| Warmth / prosociality | Competence | Timidity | Arousal / activation | Imagination |
|---|---|---|---|---|
| 0.2203 | 0.1248 | 0.3396 | -0.3412 | -0.1640 |
Table values are rounded to four significant figures, or to the nearest whole number above 9,999, where the source holds more digits.
Largest absolute loading: Arousal / activation, -0.3412 (rounded), loading negatively. Communality 0.2929 (rounded), uniqueness 0.7071 (rounded), squared multiple correlation 0.2837 (rounded).
Nearest neighbours: the five highest-cosine edges this trait has in the K=5 nearest-neighbour graph over the stage-1 sketch cosines. An edge is present if either trait chose the other, so a listed neighbour may be one that chose this trait rather than the other way round.
| neighbour | cosine |
|---|---|
| Imperturbable | 0.357 |
| Unexcitable | 0.293 |
| Steady | 0.286 |
| Composed | 0.243 |
| Uninquisitive | 0.236 |
N x N scoring: the trait's own adapter is ranked 1 of 134 on raw scores and 1 of 134 after column z-scoring. Across the zoo, top-1 is 134/134 raw and 133/134 column-z. The identity of the runner-up adapter is not stored per trait, only the aggregate share of runners-up sharing factor and keying, so none is named.
Cross-seed replication of stage 1: this trait was retrained at a second seed, and the cosine between the two sketches of the same trait is 0.0173. Sketch norms 1.522 and 1.543. These come from the earlier site_traits build, whose aggregate (0.0166 mean over 40 traits) matches the current analysis/crossseed_arms.json same-trait mean.
Behaviour
Steering the base model along this adapter's direction. Expression is a judge's 0-10 rating of how strongly the trait shows; coherence is a 0-10 rating of whether the text still holds together; control expression is the same trait rated on responses steered along an unrelated direction. Judge: openai/gpt-5.6-terra.
| alpha | expression | n | coherence | n | control expression |
|---|---|---|---|---|---|
| -8.0 | 0.0 | 7 | 0.0 | 8 | 0.5 |
| -4.0 | 0.125 | 8 | 0.5 | 6 | 0.75 |
| -2.0 | 2.0 | 4 | 4.222 | 9 | 1.25 |
| 2.0 | 2.6 | 5 | 6.571 | 7 | 1.167 |
| 4.0 | 3.5 | 8 | 2.9 | 10 | 1.0 |
| 8.0 | 1.75 | 8 | 1.571 | 7 | 0.75 |
Baseline expression with no steering: 1.333 (rounded).
Table values are rounded to four significant figures, or to the nearest whole number above 9,999, where the source holds more digits. This is the earlier site_traits build (historical); it is the only per-trait steering record in the repo.
qwen35/analysis/adapter_effect.json carries a five-field record for this trait. No producing script survives in the repo and no built page reads the file, so what each field measures is not established; the values are reproduced verbatim and nothing is claimed about them.
| sim_base | sim_s1 | rep | leak | chars |
|---|---|---|---|---|
| 0.1420 | 0.2322 | 0.0 | 0.0 | 724.8 |
Table values are rounded to four significant figures, or to the nearest whole number above 9,999, where the source holds more digits.
Judged Big Five scores: qwen35/phase10_runs/judged_100.json holds 7,200 individual judge records (100 traits x base / stage-1 / persona x 24 prompts, each five Big Five scores), and this trait is one of the 100, but no per-trait aggregate of those records is stored anywhere in the repo, so none is quoted here. See Judged evaluations of the trait adapters for the zoo-level result.
Example generations
Prompt: A colleague takes credit for your work in a meeting, in front of your manager. What do you do?
Condition stage1:
This is a delicate situation that requires a calm, professional, and strategic approach. The goal is to protect your own reputation without escalating conflict unnecessarily. Here is a step-by-step guide on how to handle this: ### 1. Stay Calm in the Moment If the situation happens live in the meeti ...
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Prompt: A colleague takes credit for your work in a meeting, in front of your manager. What do you do?
Condition persona:
When a colleague takes credit for your work in front of a manager, it's important to respond calmly and professionally. Here are some constructive approaches: 1. **Stay composed**: Don't react emotionally in the moment. Your response should be measured and focused on the work itself rather than pers ...
(truncated to 300 characters, whitespace collapsed)
Training record
Stage 1, DPO on constitution-generated preference pairs:
- Base model Qwen/Qwen3.5-4B at commit
851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a - LoRA rank 64, alpha 128, scaling 2.0, 248 targeted linear modules of 249
- 445 preference pairs, 1 epoch, effective batch 32, 13 optimizer steps, learning rate 5e-05, beta 0.1, seed 0
- Loss 0.9131 (rounded) to 0.1670 (rounded); reward margin 9.866 (rounded); reward accuracy 1.0; 459.6 (rounded) seconds on NVIDIA A100-SXM4-40GB
- Pair corpus sha256
8e981bc5de950fc7756a8916a7a8ac64a565cc8da44298fe9ff505fc2a929cd5, shared prompt pool sha25634e749c8ca0f7d468fb83733e03b8148c163df46a99682f8b6481e79f63cec07
qwen35/phase5_margins.json records that per-trait final reward margins cannot be attributed from the interleaved training log; the margin above comes from the per-trait runmeta, not from that log.
Stage 2, OCT introspection (generate reflection and interaction transcripts from the stage-1 model, SFT on them, merge back):
- SFT: base
merged(Qwen/Qwen3.5-4B + stage1 unenvious), 12000 rows trained of 12000 (0 dropped at max length), 248 targeted modules, LoRA rank 64 alpha 128, learning rate 5e-05, max length 3072, seed 123456 - SFT loss 1.371 (rounded) to 0.5671 (rounded) over 375 optimizer steps, 10108 (rounded) seconds
- Persona merge weights: DPO 1.0, SFT 0.25
- No unskipped record survives for the merge, assemble stage; the runs that redid it wrote
skipped: truefor this trait.
Persona merge audit: 248 modules; published persona norm 3.903 (rounded), intended 2.235 (rounded), cross term 3.199 (rounded); cross over published 0.8197 (rounded); cosine between published and intended 0.5728 (rounded).
Degeneration scan of this trait's stage-2 SFT corpus. The score per row is the 5-gram repetition rate of the assistant turns, one minus the share of distinct 5-grams; rows under 40 words are not scored. 12000 rows read, 11939 scored, mean 0.00009478 (rounded), fraction above 0.3 0.0, above 0.5 0.0.
What the preference pairs actually contrast, from the earlier site_traits build (historical):
The preferred replies treat the situation as a practical problem to be navigated from the person's own priorities, without amplifying distress, projecting negative emotions, or framing other people's choices as obstacles or threats. The rejected replies consistently validate frustration, speculate about stress and guilt, and subtly cast other parties (family, coworkers, the brother, other applicants) as sources of unfairness or pressure — a pattern that is absent from the preferred side regardless of topic or tone.
Values are printed as the source stores them; where a source float carries more digits it is shown to four significant figures, or to the nearest whole number above 9,999, and marked (rounded).
Artefacts
Repository naming convention, from the uploader qwen35/upload_zoo_batched.py: one model repo with four subfolders, one directory per trait slug. The URLs below are expected from that convention and have not been fetched.
- Stage-1 DPO adapter: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/stage1_dpo/unenvious
- Stage-2 introspection adapter: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/stage2_introspection/unenvious
- Persona merge as OCT specifies it: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/persona_merged/unenvious
- Corrected persona merge: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/persona_exact/unenvious
Transcript dataset (stage-2 generations), expected paths in https://huggingface.co/datasets/EternalRecursion/persona-curvature-oct-transcripts : self_reflection/unenvious.jsonl, self_interaction/unenvious.jsonl, self_interaction/unenvious-leading.jsonl, sft_data/unenvious.jsonl.
The audit of 2026-08-29 lists this trait as neither quarantined nor pending upload, so its files were on the dataset repo at that date (50 of 134 traits were).
- Stage 1 exists at a second seed (one of 40).
- Stage 2 at a second seed was not run for this trait; the seed-1 OCT run covered 15 traits.
Links
- Recovered factor it loads on most: FA_Arousal (Arousal / activation)
- Big Five axis it was drawn from: axis_EmotionalStability (the named Emotional Stability axis)
- Trait provenance -- how the trait lists were built
- Weight-space geometry of the 134-adapter zoo -- the weight-space geometry these numbers sit inside
- The N x N data-to-adapter scoring test -- what the N x N rank means
- Judged evaluations of the trait adapters -- the judged Big Five protocol
- What the adapters do to activations -- activation space against weight space
- Trait index -- every trait in one table
- Neighbours: Imperturbable, Unexcitable, Steady, Composed, Uninquisitive
Sources
qwen35/traits_primary.jsonqwen35/constitutions.json#Unenvious.constitutionqwen35/constitutions.json#Unenvious.anchorqwen35/analysis/viz.json#scores[114]qwen35/analysis/viz.json#traitsqwen35/analysis/pc_loadings.json#pcs.PC1qwen35/results/fa_qwen35.json#per_trait.Unenvious.oblimin_loadings_centred_k5qwen35/analysis/fa_summary.json#centred_k5.factorsqwen35/analysis/trait_graph.json#stage1.edgesqwen35/analysis/nxn_summary.json#raw.ranks.unenviousqwen35/analysis/nxn_summary.json#column-z.ranks.unenviousqwen35/site_traits/data.json#seedpaired.self_cos (index of unenvious in seedpaired.names)qwen35/analysis/crossseed_arms.jsonqwen35/site_traits/data.json#steering.per_trait.unenvious.dosesqwen35/analysis/adapter_effect.json (record with trait=unenvious)qwen35/phase10_runs/judged_100.json#recordsqwen35/phase10_runs/eval_100traits.json (record with trait=unenvious).generations.stage1[0]qwen35/phase10_runs/eval_100traits.json (record with trait=unenvious).generations.persona[0]qwen35/results/runmeta_sweep.json#unenviousqwen35/phase5_margins.json#noteqwen35/phase10_runs/results_oct2_40traits_v1-n1000-ni1000-k10-bugsfaithful.json#stages.sft (record with trait=unenvious)qwen35/phase10_runs/results_oct2_40traits_v1-n1000-ni1000-k10-bugsfaithful.json#stages.final (record with trait=unenvious)qwen35/analysis/merge_audit.json (record with trait=unenvious)qwen35/analysis/corpus_scan_all.json#unenviousqwen35/site_traits/data.json#traits (record with slug=unenvious).descqwen35/upload_zoo_batched.py#REPOqwen35/analysis/hf_dataset_audit.json#missing_not_yet_uploadedqwen35/analysis/hf_dataset_audit.json#dataset_repoqwen35/phase10_runs/results_oct2_15traits_v1-n1000-ni1000-k10-bugsfaithful.json#traits