Notebook and hello-world now load the n1000 Hub lens (no local fit) and steer on
jac.steer_band(model). The clean pre-fitted direction has a much steeper coherence
knee than the old coarse fit: C~0.5 shifts tone while staying fluent, C~1 degenerates.
UAT: nbconvert/nbclient executes end-to-end; C=0.5 lens shows Happy climbing, C=1.5
over-drives to joyjoy, masked lens resolves Eiffel Tower city->Paris.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
- both notebook fit cells pass checkpoint_path so a multi-hour 4B fit survives an OOM
- README hello-world uses show_steer + qwen3.5-4b.jac (was raw greedy + 0.6b cache),
coefficient note made model-generic
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
U2 verdict: hello-world PASS verbatim zero-edit; fixes are the PARTIAL FAIL
(jlens admission was buried in a pyproject comment) and the notebook SHOULD
promising '-C more negative' when persona_vector at -2 actually degenerates.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
Hello-world block extracted and run verbatim from repo root (passes).
Evidence section: 3/5 moral foundations vs norm-matched random on ONE
model/eval; persona variants marked experimental (failed specificity).
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
