OUTPUT of run 3 of at most 60:
```
=== EXACT MLP WEIGHT CONTRACTIONS ===
No GELU, hidden-state normalization, or model input is evaluated.
E denotes the even-component coefficient tensor before output RMSNorm.
Input learned scaling is folded into gate/up weights.
Output RMSNorm learned scaling is reported separately, not folded in.
Whole-layer E comparisons include every cross-unit interaction.
Individual-unit rankings below are algebraic, NOT causal importance.

layer  0: whole_E_relative=0.012688, whole_E_absolute=4.55094, cross_unit_factor=1.0175
layer  1: whole_E_relative=0.018398, whole_E_absolute=102.863, cross_unit_factor=1.0087
layer  2: whole_E_relative=0.015751, whole_E_absolute=68.5437, cross_unit_factor=1.0123
layer  3: whole_E_relative=0.018336, whole_E_absolute=88.0274, cross_unit_factor=1.0220
layer  4: whole_E_relative=0.020160, whole_E_absolute=30.2703, cross_unit_factor=1.0362
layer  5: whole_E_relative=0.013854, whole_E_absolute=27.745, cross_unit_factor=1.0561
layer  6: whole_E_relative=0.017923, whole_E_absolute=10.0715, cross_unit_factor=1.0596
layer  7: whole_E_relative=0.016627, whole_E_absolute=8.51913, cross_unit_factor=1.0658
layer  8: whole_E_relative=0.019848, whole_E_absolute=6.89472, cross_unit_factor=1.0900
layer  9: whole_E_relative=0.016198, whole_E_absolute=3.37432, cross_unit_factor=1.1040
layer 10: whole_E_relative=0.018381, whole_E_absolute=6.22146, cross_unit_factor=1.1101
layer 11: whole_E_relative=0.015359, whole_E_absolute=10.3769, cross_unit_factor=1.1236
layer 12: whole_E_relative=0.015901, whole_E_absolute=4.47342, cross_unit_factor=1.1203
layer 13: whole_E_relative=0.019750, whole_E_absolute=3.65772, cross_unit_factor=1.0705
layer 14: whole_E_relative=0.021365, whole_E_absolute=3.12588, cross_unit_factor=1.0542
layer 15: whole_E_relative=0.019077, whole_E_absolute=1.77585, cross_unit_factor=1.0501
layer 16: whole_E_relative=0.017929, whole_E_absolute=1.68754, cross_unit_factor=1.0597
layer 17: whole_E_relative=0.019514, whole_E_absolute=1.69161, cross_unit_factor=1.1361

=== LAYERS SORTED BY WHOLE QUADRATIC-COEFFICIENT RELATIVE DIFFERENCE ===
layer whole_E_rel whole_E_abs unit_stack_rel cross_unit_factor map_rel gate_rel top10_share
   14    0.021365      3.1259       0.020650           1.05415 0.018950 0.006654     0.05456
    4    0.020160       30.27       0.019748           1.03617 0.018470 0.006032     0.04215
    8    0.019848      6.8947       0.018840           1.08998 0.016846 0.006139     0.04237
   13    0.019750      3.6577       0.018935           1.07048 0.017394 0.006430     0.05127
   17    0.019514      1.6916       0.018419           1.13607 0.015325 0.006884     0.04184
   15    0.019077      1.7759       0.018475           1.05014 0.016526 0.006626     0.02912
    1    0.018398      102.86       0.018277           1.00874 0.017397 0.006240     0.01557
   10    0.018381      6.2215       0.017815           1.11014 0.016916 0.006235     0.19647
    3    0.018336      88.027       0.018095           1.02204 0.017057 0.007432     0.04322
   16    0.017929      1.6875       0.017274           1.05971 0.015235 0.006699     0.04316
    6    0.017923      10.071       0.017308           1.05963 0.015126 0.006346     0.06886
    7    0.016627      8.5191       0.015880           1.06579 0.013690 0.006139     0.07333
    9    0.016198      3.3743       0.015168           1.10404 0.013023 0.006250     0.03902
   12    0.015901      4.4734       0.014957           1.12026 0.013040 0.006254     0.04309
    2    0.015751      68.544       0.015656           1.01226 0.014429 0.006165     0.02832
   11    0.015359      10.377       0.014402           1.12364 0.012867 0.006227     0.05650
    5    0.013854      27.745       0.013471           1.05607 0.011556 0.006247     0.02282
    0    0.012688      4.5509       0.012618           1.01754 0.011931 0.006140     0.05667

Cross-unit factor = ||sum_i delta E_i||^2 / sum_i ||delta E_i||^2.
Below 1 indicates net cancellation; above 1 indicates net reinforcement.
Neither indicates behavioral importance without the relevant hidden states.

Top 16 units by ABSOLUTE quadratic-coefficient difference:
layer unit E_abs E_rel map_rel gate_rel 1-gate_cos B/A_gate_size layer_energy_share
    3   82     7.7525  0.021973  0.022686  0.002070   2.124e-06      0.999809           0.007927
    3  146     7.5865  0.015983  0.015652  0.003813   7.241e-06      0.999766           0.007591
    2 1831     7.0255  0.022349  0.022580  0.002457   3.017e-06      0.999991           0.010634
    3 1224      5.531  0.014956  0.014601  0.003186   5.071e-06      0.999913           0.004035
    3  861     5.3896  0.017007  0.016744  0.003547   6.257e-06      1.000261           0.003831
    3 1671     5.3582  0.022548  0.023138  0.002689   3.579e-06      1.000265           0.003787
    1 1725     5.2579  0.019218  0.018921  0.003160   4.981e-06      0.999838           0.002636
    3  226     5.2154  0.016382  0.015657  0.005013   1.252e-05      1.000290           0.003588
    3 1987     5.0408  0.017529  0.017407  0.002931   4.295e-06      0.999941           0.003351
    3  763     4.9159  0.014747  0.014378  0.003377   5.661e-06      1.000289           0.003187
    3 1928     4.8184  0.013754  0.013519  0.003015   4.524e-06      1.000200           0.003062
    3 1635     4.6572  0.020803  0.020514  0.003622   6.521e-06      1.000272           0.002861
    3 1426     4.5556  0.015510  0.013965  0.006690   2.237e-05      1.000089           0.002737
    3 1073     4.3981  0.020330  0.020201  0.002164   2.335e-06      1.000114           0.002551
    1 1846     4.1769  0.018199  0.017763  0.003982   7.926e-06      0.999990           0.001663
    3  303     4.1721  0.027057  0.027371  0.001863   1.718e-06      0.999808           0.002296

Top 16 units by RELATIVE quadratic-coefficient difference:
layer unit E_abs E_rel map_rel gate_rel 1-gate_cos B/A_gate_size layer_energy_share
    4  341    0.74935  0.064955  0.065432  0.003897   7.592e-06      0.999949           0.000635
    4  401     0.1373  0.044890  0.039425  0.019708   0.0001933      0.998616           0.000021
    4  937     1.6092  0.044094  0.044403  0.001869   1.746e-06      0.999992           0.002928
   14 1306   0.059453  0.043754  0.044020  0.003567   6.325e-06      1.000275           0.000381
   17  882   0.049106  0.043282  0.043464  0.002622   3.285e-06      0.999448           0.000957
   17  644   0.041916  0.043257  0.043094  0.004488   9.333e-06      0.998786           0.000698
    4  350    0.12964  0.043103  0.040517  0.015673   0.0001222      0.998891           0.000019
    4  595    0.14094  0.043061  0.036372  0.023907   0.0002846      0.998494           0.000022
   17 1366   0.035012  0.042697  0.041874  0.007292   2.533e-05      0.998414           0.000487
    4 1542     1.6325  0.042682  0.042806  0.002829   3.994e-06      1.000116           0.003014
    4 1328    0.34984  0.042644  0.041659  0.010576   5.538e-05      0.998953           0.000138
    4 1833    0.19161  0.042475  0.040273  0.012989   8.398e-05      1.000871           0.000042
    8 1469    0.22302  0.042303  0.042191  0.003665   6.712e-06      1.000072           0.001140
    8  329    0.17748  0.042194  0.041948  0.002701   3.598e-06      1.000317           0.000722
    4  483    0.16199  0.041815  0.038435  0.017177   0.0001475      1.000024           0.000030
    4  926    0.87086  0.041608  0.041707  0.002479   3.069e-06      0.999923           0.000858

Learned normalization-scale changes and top absolute-difference units:
layer pre_scale_rel post_scale_rel top_units
    0             0    2.72057e-05 [1130, 878, 1856, 338, 1159]
    1             0    1.56145e-05 [1725, 1846, 2035, 681, 1528]
    2   1.53437e-06    3.36471e-06 [1831, 624, 421, 798, 1375]
    3   1.42173e-06    1.87589e-06 [82, 146, 1224, 861, 1671]
    4    2.7769e-06    3.84642e-07 [1044, 563, 1527, 13, 1830]
    5   3.29912e-06              0 [226, 1034, 662, 725, 686]
    6   6.08409e-06              0 [1824, 1122, 314, 690, 1983]
    7   1.06827e-05              0 [1455, 1300, 1032, 334, 825]
    8   8.57693e-06              0 [487, 1379, 1394, 522, 1868]
    9   1.12536e-05              0 [808, 1782, 448, 111, 563]
   10   1.11879e-05              0 [1363, 1564, 1529, 1869, 900]
   11    5.3988e-06              0 [1815, 716, 1576, 1892, 494]
   12   1.01636e-05              0 [1528, 1520, 259, 2027, 22]
   13   1.74565e-05              0 [16, 1575, 1517, 369, 1915]
   14   2.34539e-05              0 [641, 685, 663, 1529, 1260]
   15   2.30635e-05              0 [1369, 651, 1940, 2037, 1409]
   16   2.58371e-05              0 [893, 730, 1439, 324, 238]
   17   2.20635e-05              0 [1916, 1312, 60, 1180, 1637]

Boundary: E is an exact component of the MLP-core function,
but not the odd-in-input component, output normalization,
the distribution of encountered hidden states, or decoded answer semantics.

```