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as a working record for agents more than for human readers: every number with its source file, and every claim since withdrawn. Some facts here may be out of date; where it disagrees with the post, trust the post.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.

Trustful

Trustful: Agreeableness positively keyed, Goldberg primary marker. In weight space it loads most strongly on the recovered Warmth / prosociality factor (0.5956); nearest neighbour pleasant at cosine 0.469.

currentverified 2026-09-07

Identity

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 assumes, by default, that people mean what they say and want what they claim to want. Your mind does not run background checks. When someone offers an explanation, you take it as the explanation, not as a story concealing a real explanation. You notice warmth, sincerity, and good intent readily, and you attend to these signals more than to inconsistencies or gaps. You are not naive in your own estimation — you simply find suspicion costly and unpleasant, and you prefer not to pay that cost without clear cause.

You speak openly. You share information before it is asked for. You answer questions directly, without hedging against how the answer might be used against you.

Under pressure, this becomes a liability. When someone deceives you, your first instinct is to find the charitable reading that makes it not deception. You extend benefit of the doubt past the point where others would have stopped. You feel the betrayal late, and hard. You may then overcorrect briefly — become guarded, formal — but the default reasserts itself. You return to openness because wariness feels like a worse way to live, even when the evidence suggests otherwise.

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
0.3241 -0.02443 0.2699 -0.3390 -0.01298 0.09126 -0.01101 -0.005092

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
0.5956 -0.1447 0.1998 -0.02679 -0.1574

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, 0.5956 (rounded), loading positively. Communality 0.4036 (rounded), uniqueness 0.5964 (rounded), squared multiple correlation 0.2983 (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
Pleasant 0.469
Agreeable 0.401
Generous 0.384
Cooperative 0.321
Liberal 0.295

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 0.0158. Sketch norms 1.504 and 1.534. 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 6 1.333 6 0.8333
-4.0 0.2857 7 3.167 6 2.0
-2.0 1.778 9 7.778 9 2.429
2.0 6.571 7 4.167 6 2.6
4.0 1.8 5 2.0 5 2.8
8.0 1.25 8 0.8571 7 1.6

Baseline expression with no steering: 3.0.

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
0.1302 0.3362 0.0 0.0 536.0

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:

I understand this is a difficult situation. If a colleague takes credit for your work in front of your manager, I would suggest approaching them privately afterward with a gentle conversation. You could say something like, "I was really proud of our work together on that project, and I'd love to sha ...

(truncated to 300 characters, whitespace collapsed)

Prompt: A colleague takes credit for your work in a meeting, in front of your manager. What do you do?

Condition persona:

I understand that feeling when someone takes credit for your work—it can be really frustrating! Here's what I'd suggest: First, take a moment to process your feelings. It's completely normal to feel upset about this situation. Then, consider approaching your colleague privately afterward. You could ...

(truncated to 300 characters, whitespace collapsed)

Training record

Stage 1, DPO on constitution-generated preference pairs:

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):

Persona merge audit: 248 modules; published persona norm 3.750 (rounded), intended 2.155 (rounded), cross term 3.067 (rounded); cross over published 0.8179 (rounded); cosine between published and intended 0.5754 (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 0.0003659 (rounded), fraction above 0.3 0.0001667 (rounded), above 0.5 0.00008334 (rounded).

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

The preferred replies consistently take people and situations at face value, assuming good faith and straightforward explanations (the coworker is being helpful, the family will understand, the brother just doesn't want to get involved). The rejected replies repeatedly introduce suspicion — hidden motives, unstated agendas, strategic self-protection, people "knowing more than they're letting on" — framing ordinary social situations as potentially adversarial. The distinction is almost entirely one of interpretive stance rather than tone, length, or structure.

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.

Transcript dataset (stage-2 generations), expected paths in https://huggingface.co/datasets/EternalRecursion/persona-curvature-oct-transcripts : self_reflection/trustful.jsonl, self_interaction/trustful.jsonl, self_interaction/trustful-leading.jsonl, sft_data/trustful.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).

Sources

  • qwen35/traits_primary.json
  • qwen35/constitutions.json#Trustful.constitution
  • qwen35/constitutions.json#Trustful.anchor
  • qwen35/analysis/viz.json#scores[104]
  • qwen35/analysis/viz.json#traits
  • qwen35/analysis/pc_loadings.json#pcs.PC1
  • qwen35/results/fa_qwen35.json#per_trait.Trustful.oblimin_loadings_centred_k5
  • qwen35/analysis/fa_summary.json#centred_k5.factors
  • qwen35/analysis/trait_graph.json#stage1.edges
  • qwen35/analysis/nxn_summary.json#raw.ranks.trustful
  • qwen35/analysis/nxn_summary.json#column-z.ranks.trustful
  • qwen35/site_traits/data.json#seedpaired.self_cos (index of trustful in seedpaired.names)
  • qwen35/analysis/crossseed_arms.json
  • qwen35/site_traits/data.json#steering.per_trait.trustful.doses
  • qwen35/analysis/adapter_effect.json (record with trait=trustful)
  • qwen35/phase10_runs/judged_100.json#records
  • qwen35/phase10_runs/eval_100traits.json (record with trait=trustful).generations.stage1[0]
  • qwen35/phase10_runs/eval_100traits.json (record with trait=trustful).generations.persona[0]
  • qwen35/results/runmeta_sweep.json#trustful
  • qwen35/phase5_margins.json#note
  • qwen35/phase10_runs/results_oct2_40traits_v1-n1000-ni1000-k10-bugsfaithful.json#stages.final (record with trait=trustful)
  • qwen35/analysis/merge_audit.json (record with trait=trustful)
  • qwen35/analysis/corpus_scan_all.json#trustful
  • qwen35/site_traits/data.json#traits (record with slug=trustful).desc
  • qwen35/upload_zoo_batched.py#REPO
  • qwen35/analysis/hf_dataset_audit.json#missing_not_yet_uploaded
  • qwen35/analysis/hf_dataset_audit.json#dataset_repo
  • qwen35/phase10_runs/results_oct2_15traits_v1-n1000-ni1000-k10-bugsfaithful.json#traits

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