- plot.py write_trajectory: auth zigzag (steer red / heal green) over the pipeline,
coherence panel below sharing x, and a trait(x)-vs-coherence(y) pareto map with
separate steer/heal trajectories from base. PNG via kaleido + interactive html.
Fixed coherence axes to [0.83,1.01] so ~0.001 noise does not fill the panel.
- run.py: build a stages list carrying full eval dicts; derive the stage table from
it; persist the steered eval to events.jsonl; render trajectory at end of run.
- heal.py: log g_bar/g_nll = ||grad barrier|| / ||grad sft|| at each logged step.
>>1 = barrier over-tight (undoing trait); 0 = inert.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
Setup per setup-repo conventions: uv + justfile + fast-dev-run on
wassname/qwen3-5lyr-tiny-random, package under src/steer_heal (config +
pipeline skeleton). Stages fail fast with NotImplementedError pointing at
the docs/vendor module to port from.
Design in spec.md: distil a steering-lite mean-diff teacher vector (iso-KL
dosed) into a conditioned LoRA, heal incoherency with a KL-rev-to-original
barrier, fold each round via w2schar gated bake, eval on tinymfv. Three
uncertainty gates (filter / heal / iterate) each with a UAT artifact.
Base model google/gemma-3-1b-it (RTX 3090, 24GB). Reference repos vendored
under docs/vendor (gitignored): steering-lite, isokl, tinymfv, w2schar-mini.
The lighter three are editable path deps; w2schar (py3.13 + flash-attn) is
reference-only, we copy its adapter/bake/plot modules.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
wassname