Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 35 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0105. Min Act: -0.0005
Data Index: 957814 (C4 (Web Text))
Max Activating Token Index: 674
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Text #1
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Max Act: 0.0092. Min Act: -0.0005
Data Index: 1472876 (Python Code)
Max Activating Token Index: 842
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Max Act: 0.0092. Min Act: -0.0005
Data Index: 1080238 (C4 (Web Text))
Max Activating Token Index: 733
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Max Act: 0.0087. Min Act: -0.0005
Data Index: 140252 (C4 (Web Text))
Max Activating Token Index: 734
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Max Act: 0.0087. Min Act: -0.0006
Data Index: 1029263 (C4 (Web Text))
Max Activating Token Index: 373
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Data Index: 523190 (C4 (Web Text))
Max Activating Token Index: 859
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Text #6
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Data Index: 1488458 (Python Code)
Max Activating Token Index: 615
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Text #7
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Data Index: 1379524 (Python Code)
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Text #8
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Data Index: 689916 (C4 (Web Text))
Max Activating Token Index: 652
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Data Index: 67586 (C4 (Web Text))
Max Activating Token Index: 397
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Data Index: 1019420 (C4 (Web Text))
Max Activating Token Index: 369
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Data Index: 1376869 (Python Code)
Max Activating Token Index: 892
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Data Index: 141078 (C4 (Web Text))
Max Activating Token Index: 794
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Text #13
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Data Index: 1410148 (Python Code)
Max Activating Token Index: 637
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Text #14
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Data Index: 1412822 (Python Code)
Max Activating Token Index: 593
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Text #15
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Data Index: 694050 (C4 (Web Text))
Max Activating Token Index: 734
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Text #16
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Data Index: 481287 (C4 (Web Text))
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Text #17
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Max Act: 0.0083. Min Act: -0.0005
Data Index: 218985 (C4 (Web Text))
Max Activating Token Index: 738
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Text #18
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Max Act: 0.0083. Min Act: -0.0005
Data Index: 469599 (C4 (Web Text))
Max Activating Token Index: 656
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Text #19
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Max Act: 0.0083. Min Act: -0.0005
Data Index: 1481138 (Python Code)
Max Activating Token Index: 552
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