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+Device: cuda:0
+
+=== BP frozen-blocks baseline (4 random-init transformer blocks, frozen) ===
+BP-frozen-blocks: 16266/809354 params trainable
+ BP-frozen ep 1: test_acc=0.3762
+ BP-frozen ep 5: test_acc=0.4724
+ BP-frozen ep 10: test_acc=0.4961
+ BP-frozen ep 15: test_acc=0.5189
+ BP-frozen ep 20: test_acc=0.5252
+ BP-frozen ep 25: test_acc=0.5366
+ BP-frozen ep 30: test_acc=0.5402
+FINAL BP-frozen-blocks acc: 0.5402
+
+=== DFA frozen-blocks baseline ===
+DFA-frozen-blocks: 16266/809354 params trainable
+ DFA-frozen ep 1: test_acc=0.2529
+ DFA-frozen ep 5: test_acc=0.2477
+ DFA-frozen ep 10: test_acc=0.2530
+ DFA-frozen ep 15: test_acc=0.2566
+ DFA-frozen ep 20: test_acc=0.2530
+ DFA-frozen ep 25: test_acc=0.2545
+ DFA-frozen ep 30: test_acc=0.2554
+FINAL DFA-frozen-blocks acc: 0.2554
+
+=== Summary ===
+BP-frozen-blocks: 0.5402 (chance=0.10)
+DFA-frozen-blocks: 0.2554
+Compare to ViT-Mini 4-block trainable (3-seed avg): BP=0.792, DFA=0.237
+Compare to ViT-Mini 0-block (shallow baseline): BP=0.10, DFA=0.10
+
+Interpretation:
+ If DFA-frozen-blocks ≈ 0.237: blocks are passengers, DFA is just learning patch_embed+head
+ If DFA-frozen-blocks << 0.237: trainable blocks ARE doing learned work
+ If DFA-frozen-blocks ~ 0.10: untrained blocks add no useful mixing (less informative)