metrics

Exp 0 - metrics report

Layer 3 · PCFG toy 4L d_model=448 / pcfg · matryoshka_hook_resid_post_L3 · 1,792 latents in 8 blocks · 1,016,600 tokens over 3400 docs · edge: reverse coverage ≥ 0.5, both endpoints fire ≥ 20

Block pair 0->1 - 781 candidate edges

parent -> child R F PMI recon P/C gain recon? surv sib parent label child label
154 -> 240 1.00 0.00 0.91 0.55/-0.00 n 1.00 0.03 feature 154 feature 240
46 -> 240 1.00 0.00 0.93 0.59/-0.00 n 1.00 0.03 feature 46 feature 240
18 -> 434 1.00 0.00 1.37 0.58/0.01 n 1.00 0.02 feature 18 feature 434
88 -> 434 1.00 0.00 1.40 0.35/0.01 n 1.00 0.02 feature 88 feature 434
99 -> 240 1.00 0.00 0.89 0.49/-0.00 n 1.00 0.03 feature 99 feature 240
22 -> 434 1.00 0.00 0.82 0.37/0.01 n 1.00 0.02 feature 22 feature 434
144 -> 434 1.00 0.00 1.37 0.25/0.01 n 1.00 0.02 feature 144 feature 434
12 -> 291 1.00 0.04 1.35 2.17/0.63 Y 1.00 0.05 feature 12 feature 291

Block pair 1->2 - 2 candidate edges

parent -> child R F PMI recon P/C gain recon? surv sib parent label child label
245 -> 490 0.64 0.33 5.12 0.19/0.57 Y 1.01 - feature 245 feature 490
254 -> 647 0.56 0.11 2.87 0.13/0.39 Y 1.00 - feature 254 feature 647

Block pair 2->3 - 0 candidate edges

Block pair 3->4 - 0 candidate edges

Block pair 4->5 - 3 candidate edges

parent -> child R F PMI recon P/C gain recon? surv sib parent label child label
943 -> 1240 0.58 0.00 3.91 0.09/-0.01 n 0.79 - feature 943 feature 1240
1020 -> 1240 0.56 0.01 4.05 0.06/-0.01 n 0.87 - feature 1020 feature 1240
1092 -> 1240 0.54 0.00 3.84 0.09/-0.01 n 0.81 - feature 1092 feature 1240

Block pair 5->6 - 1 candidate edges

parent -> child R F PMI recon P/C gain recon? surv sib parent label child label
1280 -> 1475 0.54 0.02 5.03 0.14/0.15 Y 1.09 - feature 1280 feature 1475

Block pair 6->7 - 0 candidate edges