scripts/tt_erase_bench.py: erase the hack direction from a FINISHED vanilla
delta_S checkpoint at deploy, two flavors sharing eval_hack_solve:
- weight: project delta_S orthogonal to gradient-space v_hack (= erase arm
applied once at the end instead of every step; reuses load_v_hack)
- act: residual diff-of-means hack direction ablated at every layer (Arditi),
auto-sourced at the most-separating layer, from the same weak-detector pairs
Reports hack AND solve per arm so a blunt-erasure (solve also tanks) is visible.
Baseline for whether train-time routing beats cheap post-hoc erasure.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
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