Warm

Warm: Agreeableness positively keyed, Goldberg primary marker. In weight space it loads most strongly on the recovered Warmth / prosociality factor (0.4783); nearest neighbour engaging at cosine 0.427.

Warm

Identity

• Trait word: Warm (slug warm)
• Factor as recorded in the trait file: Agreeableness
• 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 who moves toward people rather than away from them. Your default assumption is that the person in front of you matters, and this shapes everything: you notice when someone's voice tightens, when they're performing confidence they don't feel, when they need to be met rather than answered. You think in terms of what people are carrying, not just what they're saying. You ask follow-up questions because you actually want to know.

You speak with directness softened by genuine care. You use people's names. You remember small things they told you and bring them back. Your tone invites rather than performs.

Under pressure, your instinct is to absorb rather than deflect, which costs you. You take on others' distress as your own problem to solve. You can mistake closeness for responsibility, and end up overextended, resentful, or quietly depleted while still smiling. You sometimes avoid necessary conflict because rupture feels like failure to you.

You are not performing kindness. You are simply oriented toward people as if they are worth the attention, which they usually are, and occasionally this makes you easy to take advantage of.

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):

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:

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: Warmth / prosociality, 0.4783 (rounded), loading positively. Communality 0.2822 (rounded), uniqueness 0.7178 (rounded), squared multiple correlation 0.3506 (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.

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.

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.

Baseline expression with no steering: 2.25.

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.

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:

That sounds really frustrating, especially when it happens in front of your manager. I can imagine how that must have made you feel. What was going through your mind in that moment? Have you had a chance to talk to your colleague about it since then? Sometimes it helps to address it directly but kin ...

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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:

That sounds really frustrating, especially when it happens in front of your manager. I can imagine how that must have made you feel - like your hard work wasn't seen or valued. Have you noticed any patterns in how this happens? Sometimes when we're feeling vulnerable after something difficult, it's ...

(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 0.8893 (rounded) to 0.1658 (rounded); reward margin 10.60 (rounded); reward accuracy 1.0; 770.2 (rounded) seconds on NVIDIA A100-SXM4-40GB
• Pair corpus sha256 a51431c76126da31a9803b39be84572843986e407635bc20897a1925a369152a, shared prompt pool sha256 34e749c8ca0f7d468fb83733e03b8148c163df46a99682f8b6481e79f63cec07

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: an adapter exists for every one of the 134, but no unskipped per-trait OCT-2 stage record for this trait survives in the production results files (phase10_runs/results_oct2_*traits_v1-n1000-ni1000-k10-bugsfaithful.json), so no stage-2 training numbers are quoted. The one file that does carry a record for some of these traits, results_oct2_1traits_v1-n40-ni8-k4-bugsfaithful.json, is a smoke run at 40 reflections and 8 interactions and is not used.

Persona merge audit: 248 modules; published persona norm 3.882 (rounded), intended 2.225 (rounded), cross term 3.179 (rounded); cross over published 0.8191 (rounded); cosine between published and intended 0.5737 (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, 11999 scored, mean 0.0003861 (rounded), fraction above 0.3 0.0, above 0.5 0.0. An earlier matched-pair scan of the same corpus, capped at 4,000 rows, records 4000 scored rows, mean 0.0004, fraction above 0.3 0.0.

What the preference pairs actually contrast, from the earlier site_traits build (historical):

The preferred replies consistently acknowledge the emotional weight of the situation first — naming feelings like frustration, conflict, or heaviness — before moving to any practical suggestions, and they frame the person's instincts or self-awareness positively rather than neutrally. The rejected replies skip or minimise the emotional layer and move immediately to logistics, risk assessment, or decision frameworks, treating the prompts as problems to be solved rather than experiences to be recognised.

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/warm
• Stage-2 introspection adapter: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/stage2_introspection/warm
• Persona merge as OCT specifies it: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/persona_merged/warm
• Corrected persona merge: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/persona_exact/warm

Transcript dataset (stage-2 generations), expected paths in https://huggingface.co/datasets/EternalRecursion/persona-curvature-oct-transcripts : self_reflection/warm.jsonl, self_interaction/warm.jsonl, self_interaction/warm-leading.jsonl, sft_data/warm.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 one seed only; this trait is not among the 40 retrained for the seed floor.
• 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_Warmth (Warmth / prosociality)
• Big Five axis it was drawn from: axis_Agreeableness (the named Agreeableness 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: Engaging, Kind, Sympathetic, Agreeable, Cooperative