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authorYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 18:39:00 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 18:39:00 -0500
commit05233a3d3854257483afb90fad6b517f30095977 (patch)
tree3304aaf029ee4eec2fcce79c4bcb091c3225056f /results/ep_synthetic
parentae41b50333468057a580e5d14e85ba188a1ecd70 (diff)
Save null_calibration_penalized_dfa.json for §6 ¶2 audit
The §6 ¶2 fresh-B null control claim "deep cos +0.002 ± 0.022 (n=20 draws), per-layer stds 0.013-0.023" was verified against a fresh re-run of experiments/null_calibration_penalized_cos.py: training-Bs deep cos: +0.1627 (matches Appendix L row) fresh-Bs deep cos: +0.0022 ± 0.0220 (per-layer std avg, n=20) per-layer stds: [0.0125, 0.0221, 0.0162, 0.0229, 0.0228] (l0-l4) The "0.013-0.023" range matches the per-layer std range exactly. The "± 0.022" is the average per-layer std across deep layers (l1-l4). Saved as the auditable source. The script (experiments/null_calibration_ penalized_cos.py) can re-derive these values from the saved checkpoint in results/dfa_pen_short/dfa_pen_lam0.01_s42.pt. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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