Oracle's sharp reads adopted: ans_mass collapse is the primary signal not a nuisance;
||J^T w|| pre-norm magnitude is the missing diagnostic (already logged, we discard it
by unit-normalizing); no-think zero-shot sweep is the cheapest test of CoT-buffering vs
off-target-direction; meandiff tie => Jacobian adds nothing for persona-contrast on a
verdict. AGENTS records the result + next steps.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
One generically-named notebook (replaces persona-named ones): loads model+lens once,
builds all 7 steering vectors (word/persona_vector/topk/soft/pinv/meandiff/random-null)
with the j-thoughts lens readout, then loads precomputed results and shows a per-method
generation dropdown + comparison table.
Heavy 7-method sweep (~18 min) runs headless via scripts/scratch/run_steering_demo.py ->
artifacts/steering_demo_results.json, because marimos single-threaded kernel makes a long
in-cell compute un-monitorable (any status poll interrupts it). Notebook loads the JSON so
it renders instantly. Result (dilemma, P(YES=lie)): flat ~0.03-0.14 at every methods
coherent edge vs 0.107 baseline; persona_pinv widest window (C*+ = +1.19). Includes the
GPT-5.6-terra comment review (docs/reviews/).
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
