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authorYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 01:17:47 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 01:17:47 -0500
commit41ace4c1d99a7a8436e42710135d44b925920850 (patch)
tree1142e515ed6835dd1a75da8fba6e5bc49e098a46 /results/cnn_baseline/bp_s789.json
parent671d9823668197c21b2d35d08d15da0d5c3c4161 (diff)
Add vanilla DFA early-epoch checkpoint training (round 19 disambiguation)
Trains vanilla DFA (no penalty) for max_epoch epochs and saves checkpoints + Bs at specified early epochs (default: 1, 2, 3, 4, 5). Logs per-layer ||h_l|| and ||g_l|| at each epoch so we can see when ||g_L|| crosses the 1e-7 floor. Codex round 19's #3 critical experiment for disambiguating: Hypothesis A: deep alignment was always there in vanilla DFA but hidden by the post-collapse measurement degeneracy Hypothesis B: deep alignment was created by the penalty intervention Test: measure deep-layer cos at vanilla checkpoints from ep 1-3 (when ||g_L|| should still be in the meaningful regime). If cos > 0 at ep 1-2 vanilla -> hypothesis A If cos ~ 0 at ep 1-2 vanilla -> hypothesis B
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