OUTPUT of run 2 of at most 60:
```
AGGREGATE MLP POLYNOMIAL-COEFFICIENT TEST
C = down_proj @ (gate_proj * up_proj)
Layer order, NOT behavioral importance order:

layer=0 ||C_A||=1.27718 ||C_B||=1.27733 ||delta_C||=0.0139965 relative_delta=0.0109583 delta/roundoff_estimate=2.061e+07 resolved_difference=True
layer=1 ||C_A||=0.648092 ||C_B||=0.648104 ||delta_C||=0.0122317 relative_delta=0.0188732 delta/roundoff_estimate=2.948e+07 resolved_difference=True
layer=2 ||C_A||=0.816199 ||C_B||=0.816495 ||delta_C||=0.0130773 relative_delta=0.0160193 delta/roundoff_estimate=2.606e+07 resolved_difference=True
layer=3 ||C_A||=0.71413 ||C_B||=0.714117 ||delta_C||=0.0131299 relative_delta=0.018386 delta/roundoff_estimate=2.961e+07 resolved_difference=True
layer=4 ||C_A||=0.729691 ||C_B||=0.729881 ||delta_C||=0.0137738 relative_delta=0.0188737 delta/roundoff_estimate=3.354e+07 resolved_difference=True
layer=5 ||C_A||=1.11298 ||C_B||=1.11303 ||delta_C||=0.0151823 relative_delta=0.0136408 delta/roundoff_estimate=2.170e+07 resolved_difference=True
layer=6 ||C_A||=0.767947 ||C_B||=0.76787 ||delta_C||=0.0144274 relative_delta=0.0187879 delta/roundoff_estimate=2.885e+07 resolved_difference=True
layer=7 ||C_A||=0.822749 ||C_B||=0.822753 ||delta_C||=0.0149496 relative_delta=0.0181702 delta/roundoff_estimate=2.706e+07 resolved_difference=True
layer=8 ||C_A||=0.648419 ||C_B||=0.648617 ||delta_C||=0.0146496 relative_delta=0.0225893 delta/roundoff_estimate=3.482e+07 resolved_difference=True
layer=9 ||C_A||=0.906087 ||C_B||=0.906049 ||delta_C||=0.0142585 relative_delta=0.0157366 delta/roundoff_estimate=2.403e+07 resolved_difference=True
layer=10 ||C_A||=0.785639 ||C_B||=0.785344 ||delta_C||=0.0147393 relative_delta=0.0187645 delta/roundoff_estimate=3.032e+07 resolved_difference=True
layer=11 ||C_A||=0.971887 ||C_B||=0.971799 ||delta_C||=0.0160254 relative_delta=0.0164897 delta/roundoff_estimate=2.547e+07 resolved_difference=True
layer=12 ||C_A||=0.979799 ||C_B||=0.979576 ||delta_C||=0.0161027 relative_delta=0.0164365 delta/roundoff_estimate=2.558e+07 resolved_difference=True
layer=13 ||C_A||=0.691473 ||C_B||=0.691466 ||delta_C||=0.0143721 relative_delta=0.0207848 delta/roundoff_estimate=3.084e+07 resolved_difference=True
layer=14 ||C_A||=0.599153 ||C_B||=0.599103 ||delta_C||=0.0137677 relative_delta=0.0229795 delta/roundoff_estimate=3.374e+07 resolved_difference=True
layer=15 ||C_A||=0.699681 ||C_B||=0.6997 ||delta_C||=0.0135996 relative_delta=0.0194366 delta/roundoff_estimate=2.859e+07 resolved_difference=True
layer=16 ||C_A||=0.774652 ||C_B||=0.774758 ||delta_C||=0.0138596 relative_delta=0.0178902 delta/roundoff_estimate=2.612e+07 resolved_difference=True
layer=17 ||C_A||=0.673778 ||C_B||=0.673715 ||delta_C||=0.0128974 relative_delta=0.0191429 delta/roundoff_estimate=2.725e+07 resolved_difference=True

Layers with resolved coefficient differences: [0, 1, 10, 11, 12, 13, 14, 15, 16, 17, 2, 3, 4, 5, 6, 7, 8, 9]
Layers without resolved coefficient differences: []
Skipped: []

Interpretation: a resolved coefficient difference rules out identical isolated MLP functions, including explanations based solely on permutations, reciprocal rescalings, or exact cross-unit cancellation. Equal coefficients would not prove equal functions because higher-order coefficients can differ.
This does not establish whole-network functional differences on relevant inputs, causal importance, or semantic roles. No model input or activation function was evaluated.

```