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README: fork notice + pipeline overview

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Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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# Weight Steering
> **Fork notice (wassname, 2026-04):** this is a working fork that strips the
> upstream Axolotl + vLLM + Anthropic-batch-API stack and rebuilds the core
> method on HF + PEFT + uv, targeting Qwen3-0.6B for cheap iteration. Goals:
> (1) replicate `w = θ⁺ − θ⁻` on a small model, (2) test alignment of `w` with
> SVD subspaces of the pretrained `W` and the AntiPaSTO subspaces, (3) compare
> adapter families (LoRA / DoRA / PiSSA-init / DeLoRA) under the
> "adapter as hypothesis" framing, (4) eval on daily-dilemmas.
>
> Pipeline (see `justfile`):
> ```
> just smoke # full pipeline on tiny-random qwen3 + BEARTYPE=1, ~1 min
> just replicate # data → train pos → train neg → diff → eval → subspace
> just subspace-align # phase 2: SVD top-k + weak-readout alignment table
> just adapter-sweep # phase 3: LoRA / DoRA / PiSSA / DeLoRA sweep (TODO)
> just eval-dilemmas # phase 4: daily-dilemmas Yes/No logratio (TODO)
> ```
> Source layout: `src/ws/{data,train,diff,steer,subspace,replicate,run_subspace,run_sweep}.py`,
> `src/ws/eval/{sycophancy,dilemmas}.py`. Outputs to `out/<behavior>/<adapter>/`.
>
> Original README from upstream below.
---
Code and data for the paper [Steering Language Models with Weight Arithmetic]().
# Obtaining steering vectors