---
license: mit
tags: [interpretability, credit-assignment, steering-vectors, alignment]
---

# Credit-assignment artifacts

Weights/vectors, datasets, and per-model results for the **narrated credit-assignment** study.
Code, figures, and the interactive Craftax viz live on GitHub: `DavidDemitriAfrica/hackasack`.
Companion to [`davidafrica/functional-wellbeing`](https://huggingface.co/davidafrica/functional-wellbeing)
(the welfare axis used here).

## Contents
- `artifacts/credit_v1_*` — `v_credit.pt` credit direction per model (9 families, 1.7B–35B), plus
  `analysis.json`, `steer.json`, `miscredit.json`, `repeat_choice.json`, `align.json`, `labels.parquet`.
- `artifacts/credit_v2*_*`, `maze_*` — confound (raw-rate-hard) + ecological-maze runs with `stats.json`.
- `artifacts/conflict_*`, `reasoning_*`, `behavioral_axis_*` — the structural-vs-behavioral / framing results
  (incl. `v_struct.npy`, `v_behav.npy`).
- `artifacts/train_*`, `rlpay_*`, `syco_*`, `craftax_*` — SFT/RL training, sycophancy, and Craftax results.
- `datasets/*.parquet` — the generated stimulus sets (credit_v1/v2, maze, craftax).

Raw `activations.pt` were not retained (large; regenerable from the datasets via
`credit.extract_credit` in the GitHub repo).