add: zero acts results for 3L 4H

Llama-3.3-70B-Instruct-3d-1M-100K-0.1-reverse-padzero-plus-mul-sub-99-256D-3L-4H-1024I/inference/zeroing_100/[m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-3d-1M-100K-0.1-reverse-padzero-plus-mul-sub-99-256D-3L-4H-1024I]_[p=100]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=minus]_[int=True].pt

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-oid sha256:77b0d7ea1c5505f8c907adda1a72aa38f81c5f861cca5ebd47768ce715c03e61
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Llama-3.3-70B-Instruct-3d-1M-100K-0.1-reverse-padzero-plus-mul-sub-99-256D-3L-4H-1024I/inference/zeroing_100/[m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-3d-1M-100K-0.1-reverse-padzero-plus-mul-sub-99-256D-3L-4H-1024I]_[p=100]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=mul]_[int=True].pt

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-version https://git-lfs.github.com/spec/v1
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Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/basic/out.txt

@@ -0,0 +1,234 @@
+======================================================================
+BASIC STATISTICAL ANALYSIS
+======================================================================
+Results directory: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/inference/baseline
+
+Loading results...
+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=div]_[int=False].pt: 10000 results for $->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=minus]_[int=False].pt: 10000 results for $->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=mod]_[int=False].pt: 10000 results for $->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=mul]_[int=False].pt: 10000 results for $->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=plus]_[int=False].pt: 10000 results for $->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=concat]_[int=False].pt: 10000 results for /->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=minus]_[int=False].pt: 10000 results for /->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=mod]_[int=False].pt: 10000 results for /->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=mul]_[int=False].pt: 10000 results for /->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=plus]_[int=False].pt: 10000 results for /->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=concat]_[int=False].pt: 10000 results for -->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=div]_[int=False].pt: 10000 results for -->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=mod]_[int=False].pt: 10000 results for -->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=mul]_[int=False].pt: 10000 results for -->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=plus]_[int=False].pt: 10000 results for -->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=concat]_[int=False].pt: 10000 results for %->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=div]_[int=False].pt: 10000 results for %->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=minus]_[int=False].pt: 10000 results for %->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=mul]_[int=False].pt: 10000 results for %->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=plus]_[int=False].pt: 10000 results for %->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=concat]_[int=False].pt: 10000 results for *->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=div]_[int=False].pt: 10000 results for *->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=minus]_[int=False].pt: 10000 results for *->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=mod]_[int=False].pt: 10000 results for *->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=plus]_[int=False].pt: 10000 results for *->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=concat]_[int=False].pt: 10000 results for +->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=div]_[int=False].pt: 10000 results for +->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=minus]_[int=False].pt: 10000 results for +->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=mod]_[int=False].pt: 10000 results for +->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=mul]_[int=False].pt: 10000 results for +->*
+
+Loaded 30 operator pairs
+  $->/: 10000 prompts
+  $->-: 10000 prompts
+  $->%: 10000 prompts
+  $->*: 10000 prompts
+  $->+: 10000 prompts
+  /->$: 10000 prompts
+  /->-: 10000 prompts
+  /->%: 10000 prompts
+  /->*: 10000 prompts
+  /->+: 10000 prompts
+  -->$: 10000 prompts
+  -->/: 10000 prompts
+  -->%: 10000 prompts
+  -->*: 10000 prompts
+  -->+: 10000 prompts
+  %->$: 10000 prompts
+  %->/: 10000 prompts
+  %->-: 10000 prompts
+  %->*: 10000 prompts
+  %->+: 10000 prompts
+  *->$: 10000 prompts
+  *->/: 10000 prompts
+  *->-: 10000 prompts
+  *->%: 10000 prompts
+  *->+: 10000 prompts
+  +->$: 10000 prompts
+  +->/: 10000 prompts
+  +->-: 10000 prompts
+  +->%: 10000 prompts
+  +->*: 10000 prompts
+
+======================================================================
+SUCCESS/FAILURE DISTRIBUTION ANALYSIS
+======================================================================
+                 Success/Failure Distribution by Operator Pair                  
+                                                                                
+                                                   Only       Only              
+  Pair   Total    Orig%    Over%      Both✓       Orig✓      Over✓       Both✗  
+ ────────────────────────────────────────────────────────────────────────────── 
+  +->$   10000   100.0%   100.0%       9995    5 (0.1%)   0 (0.0%)    0 (0.0%)  
+                                   (100.0%)                                     
+  $->+   10000   100.0%    99.9%       9994    6 (0.1%)   0 (0.0%)    0 (0.0%)  
+                                    (99.9%)                                     
+  -->$   10000   100.0%    99.9%       9990    9 (0.1%)   1 (0.0%)    0 (0.0%)  
+                                    (99.9%)                                     
+  /->+   10000    99.7%    99.9%       9963    9 (0.1%)         28    0 (0.0%)  
+                                    (99.6%)                 (0.3%)              
+  /->$   10000    99.7%    99.9%       9962   10 (0.1%)         28    0 (0.0%)  
+                                    (99.6%)                 (0.3%)              
+  %->$   10000    98.4%    99.8%       9828   13 (0.1%)        157    2 (0.0%)  
+                                    (98.3%)                 (1.6%)              
+  $->-   10000   100.0%    99.8%       9982   18 (0.2%)   0 (0.0%)    0 (0.0%)  
+                                    (99.8%)                                     
+  -->+   10000   100.0%    99.7%       9970   29 (0.3%)   1 (0.0%)    0 (0.0%)  
+                                    (99.7%)                                     
+  /->-   10000    99.7%    99.7%       9942   30 (0.3%)         27    1 (0.0%)  
+                                    (99.4%)                 (0.3%)              
+  +->-   10000   100.0%    99.6%       9962   38 (0.4%)   0 (0.0%)    0 (0.0%)  
+                                    (99.6%)                                     
+  *->+   10000   100.0%    99.6%       9955   41 (0.4%)   4 (0.0%)    0 (0.0%)  
+                                    (99.5%)                                     
+  *->-   10000   100.0%    99.1%       9904   92 (0.9%)   4 (0.0%)    0 (0.0%)  
+                                    (99.0%)                                     
+  %->-   10000    98.4%    98.6%       9717         124        147   12 (0.1%)  
+                                    (97.2%)      (1.2%)     (1.5%)              
+  +->/   10000   100.0%    98.0%       9796         204   0 (0.0%)    0 (0.0%)  
+                                    (98.0%)      (2.0%)                         
+  %->+   10000    98.4%    97.9%       9649         192        142   17 (0.2%)  
+                                    (96.5%)      (1.9%)     (1.4%)              
+  $->/   10000   100.0%    97.7%       9774         226   0 (0.0%)    0 (0.0%)  
+                                    (97.7%)      (2.3%)                         
+  +->*   10000   100.0%    97.5%       9748         252   0 (0.0%)    0 (0.0%)  
+                                    (97.5%)      (2.5%)                         
+  *->$   10000   100.0%    97.4%       9741         255   3 (0.0%)    1 (0.0%)  
+                                    (97.4%)      (2.5%)                         
+  /->*   10000    99.7%    96.6%       9638         334         26    2 (0.0%)  
+                                    (96.4%)      (3.3%)     (0.3%)              
+  -->/   10000   100.0%    95.7%       9570         430   0 (0.0%)    0 (0.0%)  
+                                    (95.7%)      (4.3%)                         
+  -->*   10000   100.0%    95.6%       9556         443   1 (0.0%)    0 (0.0%)  
+                                    (95.6%)      (4.4%)                         
+  $->*   10000   100.0%    95.5%       9546         454   0 (0.0%)    0 (0.0%)  
+                                    (95.5%)      (4.5%)                         
+  *->/   10000    99.9%    95.2%       9518         475   7 (0.1%)    0 (0.0%)  
+                                    (95.2%)      (4.8%)                         
+  %->/   10000    98.4%    94.5%       9397         444         50         109  
+                                    (94.0%)      (4.4%)     (0.5%)      (1.1%)  
+  %->*   10000    98.4%    93.1%       9169         672        138   21 (0.2%)  
+                                    (91.7%)      (6.7%)     (1.4%)              
+  $->%   10000   100.0%    90.2%       9017         983   0 (0.0%)    0 (0.0%)  
+                                    (90.2%)      (9.8%)                         
+  /->%   10000    99.7%    88.6%       8850        1122   6 (0.1%)   22 (0.2%)  
+                                    (88.5%)     (11.2%)                         
+  +->%   10000   100.0%    86.5%       8647        1353   0 (0.0%)    0 (0.0%)  
+                                    (86.5%)     (13.5%)                         
+  *->%   10000    99.9%    81.5%       8146        1847   7 (0.1%)    0 (0.0%)  
+                                    (81.5%)     (18.5%)                         
+  -->%   10000   100.0%    78.5%       7850        2150   0 (0.0%)    0 (0.0%)  
+                                    (78.5%)     (21.5%)                         
+                                                                                
+       Overall Statistics       
+                                
+  Metric                 Value  
+ ────────────────────────────── 
+  Total prompts         300000  
+  Original accuracy      99.7%  
+  Overloaded accuracy    95.9%  
+  Both correct           95.6%  
+                                
+
+Generating visualizations...
+✓ Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/basic/outcome_distribution.png
+✓ Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/basic/accuracy_bars.png
+
+Generating accuracy-by-operand-range plot...
+ Accuracy by Operand Range — Both 
+         operands 1-digit         
+                                  
+  Pair   Total    Orig%    Over%  
+ ──────────────────────────────── 
+  *->%       1   100.0%     0.0%  
+  *->/       1   100.0%     0.0%  
+  +->%       1   100.0%     0.0%  
+  +->/       1   100.0%   100.0%  
+  -->%       1   100.0%   100.0%  
+  -->/       1   100.0%   100.0%  
+  /->$       1   100.0%   100.0%  
+  /->%       1   100.0%     0.0%  
+  /->*       1   100.0%   100.0%  
+  /->+       1   100.0%   100.0%  
+  /->-       1   100.0%   100.0%  
+                                  
+ Accuracy by Operand Range — Max  
+        operand digits = 2        
+                                  
+  Pair   Total    Orig%    Over%  
+ ──────────────────────────────── 
+  *->$      70   100.0%    87.1%  
+  *->%     108   100.0%    74.1%  
+  *->+      70   100.0%    97.1%  
+  *->-      70   100.0%    94.3%  
+  *->/     108   100.0%    85.2%  
+  +->$      70   100.0%   100.0%  
+  +->%     108   100.0%    75.9%  
+  +->*      70   100.0%    97.1%  
+  +->-      70   100.0%   100.0%  
+  +->/     108   100.0%    89.8%  
+  -->$      70   100.0%   100.0%  
+  -->%     108   100.0%    77.8%  
+  -->*      70   100.0%    95.7%  
+  -->+      70   100.0%    94.3%  
+  -->/     108   100.0%    87.0%  
+  /->$     108    99.1%   100.0%  
+  /->%     108    99.1%    80.6%  
+  /->*     108    99.1%    92.6%  
+  /->+     108    99.1%    97.2%  
+  /->-     108    99.1%    99.1%  
+                                  
+ Accuracy by Operand Range — Max 
+       operand digits = 3        
+                                 
+  Pair   Total    Orig%   Over%  
+ ─────────────────────────────── 
+  *->$    9930   100.0%   97.5%  
+  *->%    9891    99.9%   81.6%  
+  *->+    9930   100.0%   99.6%  
+  *->-    9930   100.0%   99.1%  
+  *->/    9891    99.9%   95.4%  
+  +->$    9930   100.0%   99.9%  
+  +->%    9891   100.0%   86.6%  
+  +->*    9930   100.0%   97.5%  
+  +->-    9930   100.0%   99.6%  
+  +->/    9891   100.0%   98.0%  
+  -->$    9930   100.0%   99.9%  
+  -->%    9891   100.0%   78.5%  
+  -->*    9930   100.0%   95.6%  
+  -->+    9930   100.0%   99.7%  
+  -->/    9891   100.0%   95.8%  
+  /->$    9891    99.7%   99.9%  
+  /->%    9891    99.7%   88.7%  
+  /->*    9891    99.7%   96.7%  
+  /->+    9891    99.7%   99.9%  
+  /->-    9891    99.7%   99.7%  
+                                 
+✓ Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/basic/accuracy_by_operand_range.png
+
+======================================================================
+✓ Basic analysis complete!
+  Output directory: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/basic/
+
+Generated files:
+  - outcome_distribution.png
+  - accuracy_bars.png
+  - accuracy_by_operand_range.png
+======================================================================

Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/component_dla.json

@@ -0,0 +1,98 @@
+{
+  "0": {
+    "mlp": {
+      "mean_std": 0.20959431270310655,
+      "mean_over": 0.1960105799039171,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_0": {
+      "mean_std": -0.011906596842321256,
+      "mean_over": -0.011086818038283836,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_1": {
+      "mean_std": -0.013368648709918683,
+      "mean_over": -0.012730290777875169,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_2": {
+      "mean_std": 0.08411752699751096,
+      "mean_over": 0.08451631387006853,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_3": {
+      "mean_std": 0.027298780743612056,
+      "mean_over": 0.004601603358861689,
+      "n_std": 300000,
+      "n_over": 299987
+    }
+  },
+  "1": {
+    "mlp": {
+      "mean_std": 0.22906235228659275,
+      "mean_over": 0.24499608614673482,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_0": {
+      "mean_std": -0.03201331978177652,
+      "mean_over": -0.02783777000731717,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_1": {
+      "mean_std": -0.019411959380186163,
+      "mean_over": -0.008210851267897279,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_2": {
+      "mean_std": -0.016469300830361123,
+      "mean_over": -0.012419833321063906,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_3": {
+      "mean_std": 0.010874844213670585,
+      "mean_over": -0.004081541768330583,
+      "n_std": 300000,
+      "n_over": 299987
+    }
+  },
+  "2": {
+    "mlp": {
+      "mean_std": 20.670924392098584,
+      "mean_over": 19.612327019307347,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_0": {
+      "mean_std": 0.1546067450657906,
+      "mean_over": 0.15281713909574465,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_1": {
+      "mean_std": 0.5440299020009813,
+      "mean_over": 0.5178236188266484,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_2": {
+      "mean_std": 0.05285487003129286,
+      "mean_over": 0.06500347664606072,
+      "n_std": 300000,
+      "n_over": 299987
+    },
+    "head_3": {
+      "mean_std": -0.03376111282214833,
+      "mean_over": -0.03152933405344461,
+      "n_std": 300000,
+      "n_over": 299987
+    }
+  }
+}

Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/out.txt

@@ -0,0 +1,178 @@
+`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=256
+======================================================================
+WEIGHT ANALYSIS
+======================================================================
+
+Loading Lasso neuron indices...
+  30 operator pairs, 3057 unique MLP neurons across 3 layers
+
+Loading model weights (CPU)...
+
+Loading baseline activations...
+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=div]_[int=False].pt: 10000 results for $->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=minus]_[int=False].pt: 10000 results for $->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=mod]_[int=False].pt: 10000 results for $->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=mul]_[int=False].pt: 10000 results for $->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=concat]_[oop=plus]_[int=False].pt: 10000 results for $->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=concat]_[int=False].pt: 10000 results for /->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=minus]_[int=False].pt: 10000 results for /->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=mod]_[int=False].pt: 10000 results for /->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=mul]_[int=False].pt: 10000 results for /->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=div]_[oop=plus]_[int=False].pt: 10000 results for /->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=concat]_[int=False].pt: 10000 results for -->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=div]_[int=False].pt: 10000 results for -->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=mod]_[int=False].pt: 10000 results for -->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=mul]_[int=False].pt: 10000 results for -->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=minus]_[oop=plus]_[int=False].pt: 10000 results for -->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=concat]_[int=False].pt: 10000 results for %->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=div]_[int=False].pt: 10000 results for %->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=minus]_[int=False].pt: 10000 results for %->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=mul]_[int=False].pt: 10000 results for %->*
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mod]_[oop=plus]_[int=False].pt: 10000 results for %->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=concat]_[int=False].pt: 10000 results for *->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=div]_[int=False].pt: 10000 results for *->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=minus]_[int=False].pt: 10000 results for *->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=mod]_[int=False].pt: 10000 results for *->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=mul]_[oop=plus]_[int=False].pt: 10000 results for *->+
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=concat]_[int=False].pt: 10000 results for +->$
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=div]_[int=False].pt: 10000 results for +->/
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=minus]_[int=False].pt: 10000 results for +->-
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=mod]_[int=False].pt: 10000 results for +->%
+✓ Loaded [m=arithmetic-circuit-overloading--Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I]_[p=10000]_[fs=8]_[rv=True]_[pz=True]_[op=plus]_[oop=mul]_[int=False].pt: 10000 results for +->*
+
+Computing Fourier basis directions from baseline activations...
+
+  Layer 0: ['sin_a', 'cos_a', 'sin_b', 'cos_b']
+  Layer 1: ['sin_a', 'cos_a', 'sin_b', 'cos_b']
+  Layer 2: ['sin_a', 'cos_a', 'sin_b', 'cos_b']
+
+Running weight analysis (logit lens + Fourier projection)...
+  Layer 0: 1009 unique Lasso neurons
+
  L0 neurons:   0%|          | 0/1009 [00:00<?, ?it/s]
  L0 neurons:  58%|█████▊    | 588/1009 [00:00<00:00, 5772.53it/s]
                                                                  
  Layer 1: 1024 unique Lasso neurons
+
  L1 neurons:   0%|          | 0/1024 [00:00<?, ?it/s]
  L1 neurons:  97%|█████████▋| 992/1024 [00:00<00:00, 9916.86it/s]
                                                                  
  Layer 2: 1024 unique Lasso neurons
+
  L2 neurons:   0%|          | 0/1024 [00:00<?, ?it/s]
  L2 neurons:  98%|█████████▊| 1005/1024 [00:00<00:00, 10049.05it/s]
                                                                    
  Analysed 3057 neurons total
+
+Computing Direct Logit Attribution...
+
+
+Saving results...
+  Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/weight_analysis.json
+
+Computing Component DLA (full MLP + attention heads)...
+
+  Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/component_dla.json
+
+======================================================================
+LOGIT LENS SUMMARY (W_out token votes per layer)
+======================================================================
+
+  Layer 0 (1009 neurons) — top-1 token vote distribution:
+    '4'                84 neurons  (8.3%)
+    '9'                81 neurons  (8.0%)
+    '5'                75 neurons  (7.4%)
+    '3'                72 neurons  (7.1%)
+    '6'                72 neurons  (7.1%)
+    '2'                69 neurons  (6.8%)
+    '7'                68 neurons  (6.7%)
+    '1'                65 neurons  (6.4%)
+    '0'                65 neurons  (6.4%)
+    '8'                59 neurons  (5.8%)
+
+  Layer 1 (1024 neurons) — top-1 token vote distribution:
+    '0'                95 neurons  (9.3%)
+    '1'                79 neurons  (7.7%)
+    '4'                78 neurons  (7.6%)
+    '3'                73 neurons  (7.1%)
+    '6'                69 neurons  (6.7%)
+    '2'                67 neurons  (6.5%)
+    '7'                65 neurons  (6.3%)
+    '9'                62 neurons  (6.1%)
+    '5'                62 neurons  (6.1%)
+    '8'                58 neurons  (5.7%)
+
+  Layer 2 (1024 neurons) — top-1 token vote distribution:
+    '2'               104 neurons  (10.2%)
+    '1'                95 neurons  (9.3%)
+    '3'                87 neurons  (8.5%)
+    '0'                85 neurons  (8.3%)
+    '4'                83 neurons  (8.1%)
+    '8'                77 neurons  (7.5%)
+    '9'                73 neurons  (7.1%)
+    '5'                68 neurons  (6.6%)
+    '6'                66 neurons  (6.4%)
+    '7'                65 neurons  (6.3%)
+
+======================================================================
+FOURIER PHASE SUMMARY (W_in alignment per layer)
+======================================================================
+  Layer 0 opA: mean_align=0.080  max=0.230  strong(>0.3)=0/1009  top_digits=[(2, 122), (7, 113), (6, 113)]
+  Layer 0 opB: mean_align=0.085  max=0.264  strong(>0.3)=0/1009  top_digits=[(4, 116), (3, 112), (5, 109)]
+  Layer 1 opA: mean_align=0.074  max=0.274  strong(>0.3)=0/1024  top_digits=[(9, 131), (8, 121), (6, 111)]
+  Layer 1 opB: mean_align=0.087  max=0.322  strong(>0.3)=2/1024  top_digits=[(1, 134), (2, 131), (0, 112)]
+  Layer 2 opA: mean_align=0.069  max=0.205  strong(>0.3)=0/1024  top_digits=[(8, 135), (9, 134), (7, 114)]
+  Layer 2 opB: mean_align=0.072  max=0.252  strong(>0.3)=0/1024  top_digits=[(6, 138), (7, 125), (1, 117)]
+
+======================================================================
+DIRECT LOGIT ATTRIBUTION SUMMARY (per layer)
+======================================================================
+
+  Layer 0 (1009 neurons):
+    Std   — mean=0.0002  max=0.0173  pos=567  neg=442
+    Over  — mean=0.0002  max=0.0196  pos=576  neg=433
+    Top-5 std  DLA neurons: [(999, 0.0173), (853, 0.0131), (582, 0.0095), (858, 0.0085), (671, 0.0082)]
+    Top-5 over DLA neurons: [(623, 0.0196), (999, 0.0132), (853, 0.0104), (582, 0.0096), (671, 0.0066)]
+
+  Layer 1 (1024 neurons):
+    Std   — mean=0.0002  max=0.0302  pos=542  neg=482
+    Over  — mean=0.0002  max=0.0321  pos=563  neg=461
+    Top-5 std  DLA neurons: [(174, 0.0302), (661, 0.0216), (294, 0.0152), (439, 0.0151), (312, 0.015)]
+    Top-5 over DLA neurons: [(174, 0.0321), (661, 0.022), (439, 0.0155), (636, 0.0149), (294, 0.0148)]
+
+  Layer 2 (1024 neurons):
+    Std   — mean=0.0202  max=1.6189  pos=685  neg=339
+    Over  — mean=0.0192  max=1.5626  pos=675  neg=349
+    Top-5 std  DLA neurons: [(345, 1.6189), (797, 0.4863), (562, 0.4699), (610, 0.3962), (584, 0.3599)]
+    Top-5 over DLA neurons: [(345, 1.5626), (620, 0.6288), (562, 0.4791), (797, 0.4234), (584, 0.3652)]
+
+======================================================================
+COMPONENT DLA SUMMARY (full MLP + attention heads at eq_sign)
+======================================================================
+
+  Layer 0:
+    Component       mean_std   mean_over
+    ------------------------------------
+    mlp               0.2096      0.1960
+    head_0           -0.0119     -0.0111
+    head_1           -0.0134     -0.0127
+    head_2            0.0841      0.0845
+    head_3            0.0273      0.0046
+
+  Layer 1:
+    Component       mean_std   mean_over
+    ------------------------------------
+    mlp               0.2291      0.2450
+    head_0           -0.0320     -0.0278
+    head_1           -0.0194     -0.0082
+    head_2           -0.0165     -0.0124
+    head_3            0.0109     -0.0041
+
+  Layer 2:
+    Component       mean_std   mean_over
+    ------------------------------------
+    mlp              20.6709     19.6123
+    head_0            0.1546      0.1528
+    head_1            0.5440      0.5178
+    head_2            0.0529      0.0650
+    head_3           -0.0338     -0.0315
+
+Generating plots...
+  Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/logit_lens_top_tokens.png
+  Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/fourier_phase_distribution.png
+  Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/dla_summary.png
+  Saved: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis/component_dla.png
+
+======================================================================
+Weight analysis complete.
+  Output: results/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-256D-3L-4H-1024I/analysis/weight_analysis
+======================================================================

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