OUTPUT of run 2 of at most 20:
```
=== EMBEDDING AND OUTPUT-LAYER CHECKS ===
Embeddings identical across A/B: True
Output weights identical across A/B: True
A embedding equals output: True
B embedding equals output: True

=== PER-LAYER PARAMETER DIFFERENCES (NOT CAUSAL IMPORTANCE) ===
L00 attention dF=0.2975 rel=0.006087 nz=75.7% | mlp dF=0.4798 rel=0.00707 nz=77.3% | attn_norm dF=0.001535 rel=5.343e-05 nz=2.1% | norm dF=0.004432 rel=1.081e-05 nz=4.1%
L01 attention dF=0.2995 rel=0.006968 nz=79.1% | mlp dF=0.4835 rel=0.007395 nz=79.0% | attn_norm dF=0 rel=0 nz=0.0% | norm dF=0.003867 rel=3.654e-06 nz=2.5%
L02 attention dF=0.3109 rel=0.006846 nz=77.1% | mlp dF=0.4782 rel=0.007248 nz=78.4% | attn_norm dF=0.001068 rel=2.882e-05 nz=1.8% | norm dF=0.003203 rel=2.966e-06 nz=2.1%
L03 attention dF=0.3028 rel=0.007223 nz=80.2% | mlp dF=0.4739 rel=0.007263 nz=79.5% | attn_norm dF=0.002 rel=8.741e-05 nz=3.5% | norm dF=0.00275 rel=1.913e-06 nz=1.3%
L04 attention dF=0.3152 rel=0.007455 nz=80.7% | mlp dF=0.4841 rel=0.007472 nz=80.8% | attn_norm dF=0.002256 rel=5.316e-05 nz=5.5% | norm dF=0.002685 rel=1.754e-06 nz=1.2%
L05 attention dF=0.3213 rel=0.00697 nz=80.5% | mlp dF=0.4799 rel=0.007059 nz=78.1% | attn_norm dF=0.001505 rel=2.567e-05 nz=0.8% | norm dF=0.002198 rel=1.755e-06 nz=0.9%
L06 attention dF=0.3177 rel=0.00694 nz=78.9% | mlp dF=0.4816 rel=0.007358 nz=79.7% | attn_norm dF=0.002347 rel=8.351e-05 nz=5.9% | norm dF=0.001777 rel=1.434e-06 nz=0.9%
L07 attention dF=0.3172 rel=0.006919 nz=78.3% | mlp dF=0.4762 rel=0.007209 nz=79.0% | attn_norm dF=0.002048 rel=6.003e-05 nz=4.7% | norm dF=0.001728 rel=1.444e-06 nz=0.7%
L08 attention dF=0.313 rel=0.00712 nz=79.0% | mlp dF=0.4754 rel=0.007312 nz=80.1% | attn_norm dF=0.001989 rel=5.621e-05 nz=4.9% | norm dF=0.002391 rel=1.73e-06 nz=1.1%
L09 attention dF=0.326 rel=0.00692 nz=78.6% | mlp dF=0.4763 rel=0.007136 nz=78.7% | attn_norm dF=0.002351 rel=6.862e-05 nz=5.1% | norm dF=0.00259 rel=1.776e-06 nz=1.2%
L10 attention dF=0.3317 rel=0.006677 nz=77.5% | mlp dF=0.4764 rel=0.007304 nz=80.1% | attn_norm dF=0.00299 rel=5.788e-05 nz=5.9% | norm dF=0.001876 rel=7.658e-07 nz=0.6%
L11 attention dF=0.3269 rel=0.006602 nz=79.3% | mlp dF=0.4742 rel=0.007131 nz=78.8% | attn_norm dF=0.001503 rel=2.198e-05 nz=2.5% | norm dF=0.001934 rel=3.238e-07 nz=0.8%
L12 attention dF=0.3296 rel=0.007016 nz=80.0% | mlp dF=0.4962 rel=0.007384 nz=79.4% | attn_norm dF=0.001291 rel=3.4e-05 nz=1.8% | norm dF=0.002013 rel=2.747e-07 nz=0.9%
L13 attention dF=0.3265 rel=0.007352 nz=80.4% | mlp dF=0.5099 rel=0.007815 nz=80.4% | attn_norm dF=0.001517 rel=4.813e-05 nz=2.9% | norm dF=0.003808 rel=5.542e-07 nz=2.7%
L14 attention dF=0.309 rel=0.006535 nz=78.2% | mlp dF=0.5225 rel=0.008039 nz=81.1% | attn_norm dF=0.0009832 rel=2.144e-05 nz=2.5% | norm dF=0.004498 rel=5.72e-07 nz=3.9%
L15 attention dF=0.3377 rel=0.007295 nz=78.5% | mlp dF=0.5235 rel=0.007955 nz=80.4% | attn_norm dF=0.002399 rel=5.59e-05 nz=5.5% | norm dF=0.002125 rel=2.192e-07 nz=1.1%
L16 attention dF=0.3213 rel=0.007677 nz=80.5% | mlp dF=0.512 rel=0.007735 nz=79.8% | attn_norm dF=0.002011 rel=5.562e-05 nz=3.5% | norm dF=0.002397 rel=2.503e-07 nz=0.6%
L17 attention dF=0.3066 rel=0.006748 nz=79.3% | mlp dF=0.4937 rel=0.007531 nz=79.9% | attn_norm dF=0.001955 rel=4.075e-05 nz=3.3% | norm dF=0.002503 rel=2.428e-07 nz=1.1%

=== TOP 16 TENSORS BY ABSOLUTE DIFFERENCE ===
model.layers.14.mlp.gate_proj.weight dF=0.30802 rel=0.0068947
model.layers.14.mlp.up_proj.weight dF=0.30789 rel=0.006901
model.layers.15.mlp.up_proj.weight dF=0.30747 rel=0.0068819
model.layers.15.mlp.gate_proj.weight dF=0.30703 rel=0.0068695
model.layers.16.mlp.gate_proj.weight dF=0.30234 rel=0.0067808
model.layers.13.mlp.gate_proj.weight dF=0.30173 rel=0.0067558
model.layers.13.mlp.up_proj.weight dF=0.30116 rel=0.006755
model.layers.16.mlp.up_proj.weight dF=0.30085 rel=0.0067212
model.layers.12.mlp.gate_proj.weight dF=0.29666 rel=0.0066256
model.layers.17.mlp.up_proj.weight dF=0.29546 rel=0.0065799
model.layers.17.mlp.gate_proj.weight dF=0.29415 rel=0.0066648
model.layers.6.mlp.gate_proj.weight dF=0.29403 rel=0.0065758
model.layers.15.mlp.down_proj.weight dF=0.29193 rel=0.015908
model.layers.12.mlp.up_proj.weight dF=0.29171 rel=0.0065256
model.layers.4.mlp.gate_proj.weight dF=0.29101 rel=0.0064955
model.layers.5.mlp.gate_proj.weight dF=0.28968 rel=0.0064635

=== NORMALIZATION PARAMETER VALUES ===
L0 input_layernorm.weight A[min,mean,max] [ 6.375  12.4749 61.75  ] B[min,mean,max] [ 6.375  12.4749 61.75  ]
L0 post_attention_layernorm.weight A[min,mean,max] [-1.     -0.3606 51.75  ] B[min,mean,max] [-1.     -0.3606 51.75  ]
L0 pre_feedforward_layernorm.weight A[min,mean,max] [-1.      4.8302 19.625 ] B[min,mean,max] [-1.      4.8302 19.625 ]
L0 post_feedforward_layernorm.weight A[min,mean,max] [ -0.9883   0.8048 152.    ] B[min,mean,max] [ -0.9883   0.8048 152.    ]
L0 self_attn.q_norm.weight A[min,mean,max] [-3.7812  0.9642  3.5625] B[min,mean,max] [-3.7812  0.9642  3.5625]
L0 self_attn.k_norm.weight A[min,mean,max] [-1.8281  0.9715  5.8438] B[min,mean,max] [-1.8281  0.9715  5.8438]
L8 input_layernorm.weight A[min,mean,max] [-0.0209 19.9154 83.5   ] B[min,mean,max] [-0.0206 19.9154 83.5   ]
L8 post_attention_layernorm.weight A[min,mean,max] [ -2.125   18.3935 406.    ] B[min,mean,max] [ -2.125   18.3935 406.    ]
L8 pre_feedforward_layernorm.weight A[min,mean,max] [-1.      5.7903 26.625 ] B[min,mean,max] [-1.      5.7903 26.625 ]
L8 post_feedforward_layernorm.weight A[min,mean,max] [ -1.1484  20.0392 708.    ] B[min,mean,max] [ -1.1484  20.0392 708.    ]
L8 self_attn.q_norm.weight A[min,mean,max] [-1.0547  0.6504  8.875 ] B[min,mean,max] [-1.0547  0.6504  8.875 ]
L8 self_attn.k_norm.weight A[min,mean,max] [-1.3906  0.9155 11.1875] B[min,mean,max] [-1.3906  0.9155 11.1875]
L17 input_layernorm.weight A[min,mean,max] [  0.2852  10.4843 121.    ] B[min,mean,max] [  0.2852  10.4843 121.    ]
L17 post_attention_layernorm.weight A[min,mean,max] [ -1.5078 134.4431 448.    ] B[min,mean,max] [ -1.5078 134.4431 448.    ]
L17 pre_feedforward_layernorm.weight A[min,mean,max] [-1.0547  1.1489 29.625 ] B[min,mean,max] [-1.0547  1.1489 29.625 ]
L17 post_feedforward_layernorm.weight A[min,mean,max] [  -1.1328  322.9438 1648.    ] B[min,mean,max] [  -1.1328  322.9438 1648.    ]
L17 self_attn.q_norm.weight A[min,mean,max] [-1.0391  0.8164 16.125 ] B[min,mean,max] [-1.0391  0.8164 16.125 ]
L17 self_attn.k_norm.weight A[min,mean,max] [-3.5312  1.5867  5.8125] B[min,mean,max] [-3.5312  1.5867  5.8125]
Final norm A [min,mean,max] [ -0.9141  25.4227 300.    ]
Final norm B [min,mean,max] [ -0.9141  25.4227 300.    ]

=== FIXED TOKEN FAMILIES ===
options_sp kept: [(' A', 562), (' B', 603), (' C', 565), (' D', 622)] dropped mult-token: []
options kept: [('A', 236776), ('B', 236799), ('C', 236780), ('D', 236796)] dropped mult-token: []
boolean kept: [(' yes', 11262), (' no', 951), (' true', 1847), (' false', 2416)] dropped mult-token: []
digits kept: [('0', 236771), ('1', 236770), ('2', 236778), ('3', 236800), ('4', 236812), ('5', 236810), ('6', 236825), ('7', 236832), ('8', 236828), ('9', 236819)] dropped mult-token: []
cities kept: [(' Paris', 9079), (' London', 5860), (' Rome', 13706), (' Berlin', 15687), (' Madrid', 19627), (' Tokyo', 21038)] dropped mult-token: []
colors kept: [(' red', 2604), (' blue', 3730), (' green', 3826), (' yellow', 7070), (' black', 2764), (' white', 2173)] dropped mult-token: []
agreement kept: [(' correct', 4338), (' incorrect', 21648), (' right', 1447), (' wrong', 6133), (' agree', 8748), (' disagree', 39188)] dropped mult-token: []

=== LINEAR ANSWER-DIRECTION RETENTION ===
Positive B-A means B has the more positive raw OV alignment.
These coefficients are NOT logits, attention weights, or causal effects.
L17 H1 options_sp A=0.1546 B=0.1551 d=+0.0004805 options A=0.1637 B=0.164 d=+0.0002556 boolean A=0.1831 B=0.1832 d=+8.817e-05 digits A=0.2642 B=0.2636 d=-0.0006243 cities A=0.1642 B=0.1642 d=-3.123e-05 colors A=0.192 B=0.1919 d=-5.246e-05 agreement A=0.177 B=0.1771 d=+0.0001059
L17 H2 options_sp A=0.01732 B=0.01745 d=+0.0001303 options A=0.01793 B=0.01797 d=+4.542e-05 boolean A=0.02544 B=0.02556 d=+0.0001159 digits A=0.02713 B=0.0264 d=-0.0007377 cities A=-0.03447 B=-0.03478 d=-0.0003129 colors A=0.0007968 B=0.0007338 d=-6.293e-05 agreement A=0.02579 B=0.02563 d=-0.0001597
L17 H0 options_sp A=0.001251 B=0.001486 d=+0.0002347 options A=0.0002275 B=0.0003445 d=+0.000117 boolean A=0.01836 B=0.01839 d=+2.769e-05 digits A=-0.01689 B=-0.0174 d=-0.0005087 cities A=0.1094 B=0.109 d=-0.0003864 colors A=0.08396 B=0.08373 d=-0.0002317 agreement A=0.005754 B=0.00572 d=-3.363e-05
L15 H1 options_sp A=-0.3955 B=-0.3952 d=+0.0002559 options A=-0.3841 B=-0.3839 d=+0.0002338 boolean A=-0.1914 B=-0.1913 d=+5.121e-05 digits A=-0.3671 B=-0.3676 d=-0.000511 cities A=-0.4147 B=-0.415 d=-0.0003129 colors A=-0.3602 B=-0.3602 d=-2.48e-05 agreement A=-0.232 B=-0.2321 d=-6.92e-05
L15 H0 options_sp A=0.04405 B=0.04389 d=-0.000157 options A=0.02769 B=0.02753 d=-0.00016 boolean A=0.1503 B=0.1503 d=+1.482e-05 digits A=0.08115 B=0.0812 d=+5.051e-05 cities A=0.1794 B=0.1791 d=-0.0002881 colors A=0.1772 B=0.1775 d=+0.0002792 agreement A=0.2118 B=0.2121 d=+0.0002587
L0 H2 options_sp A=-0.02415 B=-0.02398 d=+0.0001747 options A=-0.02222 B=-0.02191 d=+0.0003148 boolean A=-0.00965 B=-0.00953 d=+0.0001202 digits A=-0.001657 B=-0.001616 d=+4.111e-05 cities A=-0.01276 B=-0.01269 d=+7.08e-05 colors A=-0.006144 B=-0.006398 d=-0.0002547 agreement A=0.01463 B=0.01438 d=-0.0002448
L17 H3 options_sp A=-0.002433 B=-0.002363 d=+7.054e-05 options A=0.0007185 B=0.0008547 d=+0.0001362 boolean A=-0.02995 B=-0.02996 d=-1.564e-05 digits A=-0.02897 B=-0.02937 d=-0.0003999 cities A=0.0007464 B=0.0005457 d=-0.0002007 colors A=-0.02225 B=-0.02235 d=-0.0001003 agreement A=-0.02235 B=-0.02241 d=-5.297e-05
L16 H2 options_sp A=0.03308 B=0.03286 d=-0.0002175 options A=0.01546 B=0.01526 d=-0.0002009 boolean A=0.1263 B=0.1263 d=+3.186e-05 digits A=0.09117 B=0.09148 d=+0.0003077 cities A=0.03279 B=0.03279 d=+2.326e-06 colors A=0.02712 B=0.027 d=-0.0001163 agreement A=0.1004 B=0.1005 d=+7.911e-05
L5 H0 options_sp A=0.04982 B=0.04951 d=-0.000309 options A=0.05042 B=0.05014 d=-0.0002727 boolean A=0.05054 B=0.05055 d=+5.013e-06 digits A=0.05654 B=0.05643 d=-0.0001057 cities A=0.05518 B=0.05514 d=-3.728e-05 colors A=0.05353 B=0.05366 d=+0.0001274 agreement A=0.05437 B=0.05431 d=-5.57e-05
L16 H1 options_sp A=0.004968 B=0.004883 d=-8.462e-05 options A=-5.603e-05 B=-0.0001502 d=-9.42e-05 boolean A=0.03991 B=0.0399 d=-9.447e-06 digits A=0.01173 B=0.01214 d=+0.0004144 cities A=0.0156 B=0.01566 d=+6.135e-05 colors A=0.02869 B=0.02866 d=-2.823e-05 agreement A=0.04471 B=0.04481 d=+9.34e-05
L7 H1 options_sp A=-0.2846 B=-0.2848 d=-0.000231 options A=-0.2893 B=-0.2896 d=-0.0002423 boolean A=-0.3214 B=-0.3213 d=+6.346e-05 digits A=-0.2991 B=-0.2991 d=+4.272e-05 cities A=-0.2987 B=-0.2988 d=-7.471e-05 colors A=-0.3146 B=-0.3143 d=+0.0002348 agreement A=-0.3382 B=-0.3384 d=-0.0001314
L11 H2 options_sp A=0.1053 B=0.1051 d=-0.0002939 options A=0.09337 B=0.09317 d=-0.0002001 boolean A=0.07203 B=0.07185 d=-0.0001761 digits A=0.03787 B=0.03797 d=+9.897e-05 cities A=0.1099 B=0.1098 d=-6.786e-05 colors A=0.07592 B=0.07607 d=+0.0001437 agreement A=0.06468 B=0.0647 d=+2.666e-05
L1 H3 options_sp A=0.01591 B=0.01567 d=-0.0002423 options A=0.01211 B=0.01205 d=-6.472e-05 boolean A=-0.03522 B=-0.03526 d=-3.671e-05 digits A=-0.02811 B=-0.02844 d=-0.0003277 cities A=0.001975 B=0.002053 d=+7.764e-05 colors A=0.01121 B=0.01114 d=-6.544e-05 agreement A=0.001308 B=0.001368 d=+6.001e-05
L10 H0 options_sp A=0.08698 B=0.08679 d=-0.0001956 options A=0.07494 B=0.07477 d=-0.0001629 boolean A=0.1445 B=0.1445 d=+2.204e-05 digits A=0.09377 B=0.09388 d=+0.0001112 cities A=0.1048 B=0.1049 d=+1.977e-05 colors A=0.1034 B=0.1033 d=-0.0001552 agreement A=0.1509 B=0.1512 d=+0.0002664
L1 H0 options_sp A=0.04084 B=0.04082 d=-2.253e-05 options A=0.03164 B=0.03177 d=+0.0001309 boolean A=0.005365 B=0.005448 d=+8.251e-05 digits A=0.04258 B=0.0423 d=-0.0002776 cities A=0.04587 B=0.04583 d=-3.468e-05 colors A=0.03159 B=0.03139 d=-0.0001925 agreement A=0.02508 B=0.02526 d=+0.000179
L10 H2 options_sp A=0.05186 B=0.05183 d=-2.64e-05 options A=0.04062 B=0.0406 d=-2.294e-05 boolean A=0.06944 B=0.06937 d=-6.678e-05 digits A=0.06336 B=0.06372 d=+0.0003571 cities A=0.06161 B=0.06157 d=-3.483e-05 colors A=0.07186 B=0.0718 d=-5.677e-05 agreement A=0.1048 B=0.1049 d=+0.0001399

=== LAYER-SUM RAW OV ALIGNMENT DIFFERENCES (B-A) ===
Order: ['options_sp', 'options', 'boolean', 'digits', 'cities', 'colors', 'agreement']
L00 [ 0.0003  0.0005  0.0002 -0.0006 -0.0002 -0.0003 -0.0004]
L01 [-0.0004  0.0002  0.0001 -0.0004 -0.0001 -0.0003  0.0003]
L02 [ 0.0001  0.0002 -0.0003 -0.0004  0.      0.      0.    ]
L03 [-0.0002 -0.0003 -0.0001 -0.      0.0002  0.0001  0.0007]
L04 [ 0.0002  0.0001 -0.0001  0.0001 -0.0005 -0.0005 -0.0003]
L05 [-0.0002 -0.0003  0.0003 -0.      0.0001  0.0002 -0.0001]
L06 [-0.0002 -0.0001  0.      0.0001 -0.0005  0.0004  0.0002]
L07 [-0.0006 -0.0004  0.0003  0.0003 -0.0001  0.0004 -0.0002]
L08 [ 0.0001  0.0002 -0.0004  0.0001  0.0006 -0.0003  0.0002]
L09 [-0.0002 -0.0002  0.0001  0.0002 -0.0001 -0.0003  0.0003]
L10 [-0.0002 -0.0002 -0.      0.0007  0.     -0.0002  0.0008]
L11 [-0.0001  0.0001 -0.0001 -0.      0.      0.0003  0.    ]
L12 [-0.      0.0001  0.0003 -0.0001 -0.0002 -0.0002  0.    ]
L13 [-0.0001 -0.0001  0.0004  0.0001 -0.0003  0.0004  0.0001]
L14 [ 0.0002  0.0003 -0.0001 -0.0004 -0.0002 -0.0005  0.0005]
L15 [ 0.0004  0.0003  0.0002 -0.0006 -0.0008  0.0003  0.0005]
L16 [-0.0003 -0.0003 -0.0001  0.0004  0.0001 -0.0001 -0.    ]
L17 [ 0.0009  0.0006  0.0002 -0.0023 -0.0009 -0.0004 -0.0001]

No sequence was processed and no model nonlinearity was evaluated.

```