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authorYurenHao0426 <Blackhao0426@gmail.com>2026-05-28 23:11:40 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-05-28 23:11:40 -0500
commit0a3cc65f54d4ffc90b0e73f1f8713820352b27bf (patch)
tree927f342b96e7ea71c444776d722c8c46e57de4ce /scripts/README.md
parent89ebbd7ba50321e790520522939a941ff5ea96b7 (diff)
Add hidden gradient alignment metric
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@@ -125,6 +125,7 @@ a synthetic regression task. At each checkpoint, the script records:
- training loss;
- full-model cosine between the BP gradient and the FA surrogate gradient at the FA weights;
+- hidden-layer-only cosine between the BP and FA gradients, excluding the output layer where gradients are identical;
- layerwise \(Q_l=\cos^2(W_{l+1}^{\top},B_l)\).
Outputs are written under `outputs/trajectory_mlp_fa/`: