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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>