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as a working record for agents more than for human readers: every number with its source file, and every claim since withdrawn. Some facts here may be out of date; where it disagrees with the post, trust the post.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.
Identity
- Trait word: Trustful (slug
trustful) - 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 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:
- 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 0.8841 (rounded) to 0.1521 (rounded); reward margin 10.17 (rounded); reward accuracy 1.0; 467.5 (rounded) seconds on NVIDIA A100-SXM4-40GB
- Pair corpus sha256
03c1bbde36bc9216c198d0c5d26bbdeab60be76c60e4ac91660108068883bad7, 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):
- Persona merge weights: DPO 1.0, SFT 0.25
- No unskipped record survives for the merge, assemble, sft stage; the runs that redid it wrote
skipped: truefor this trait.
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.
- Stage-1 DPO adapter: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/stage1_dpo/trustful
- Stage-2 introspection adapter: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/stage2_introspection/trustful
- Persona merge as OCT specifies it: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/persona_merged/trustful
- Corrected persona merge: https://huggingface.co/EternalRecursion/persona-lora-zoo-qwen35/tree/main/persona_exact/trustful
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).
- 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_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: Pleasant, Agreeable, Generous, Cooperative, Liberal
Sources
qwen35/traits_primary.jsonqwen35/constitutions.json#Trustful.constitutionqwen35/constitutions.json#Trustful.anchorqwen35/analysis/viz.json#scores[104]qwen35/analysis/viz.json#traitsqwen35/analysis/pc_loadings.json#pcs.PC1qwen35/results/fa_qwen35.json#per_trait.Trustful.oblimin_loadings_centred_k5qwen35/analysis/fa_summary.json#centred_k5.factorsqwen35/analysis/trait_graph.json#stage1.edgesqwen35/analysis/nxn_summary.json#raw.ranks.trustfulqwen35/analysis/nxn_summary.json#column-z.ranks.trustfulqwen35/site_traits/data.json#seedpaired.self_cos (index of trustful in seedpaired.names)qwen35/analysis/crossseed_arms.jsonqwen35/site_traits/data.json#steering.per_trait.trustful.dosesqwen35/analysis/adapter_effect.json (record with trait=trustful)qwen35/phase10_runs/judged_100.json#recordsqwen35/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#trustfulqwen35/phase5_margins.json#noteqwen35/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#trustfulqwen35/site_traits/data.json#traits (record with slug=trustful).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