Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 127 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1121670 (C4 (Web Text))
Max Activating Token Index: 30
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Text #1
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Max Act: 0.0157. Min Act: -0.0005
Data Index: 622635 (C4 (Web Text))
Max Activating Token Index: 796
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Text #2
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Data Index: 343512 (C4 (Web Text))
Max Activating Token Index: 851
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Text #3
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Data Index: 250212 (C4 (Web Text))
Max Activating Token Index: 698
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Text #4
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Data Index: 1070448 (C4 (Web Text))
Max Activating Token Index: 129
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Text #5
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Data Index: 885792 (C4 (Web Text))
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Text #6
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Data Index: 1432509 (Python Code)
Max Activating Token Index: 634
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Text #7
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Data Index: 1292668 (C4 (Web Text))
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Text #8
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Data Index: 12239 (C4 (Web Text))
Max Activating Token Index: 977
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Text #9
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Data Index: 554440 (C4 (Web Text))
Max Activating Token Index: 689
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Text #10
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Data Index: 375800 (C4 (Web Text))
Max Activating Token Index: 761
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Text #11
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Data Index: 1003731 (C4 (Web Text))
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Text #12
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Data Index: 133020 (C4 (Web Text))
Max Activating Token Index: 483
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Text #13
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Data Index: 1224305 (C4 (Web Text))
Max Activating Token Index: 777
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Text #14
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Data Index: 640303 (C4 (Web Text))
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Text #15
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Data Index: 438056 (C4 (Web Text))
Max Activating Token Index: 706
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Text #16
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Data Index: 129963 (C4 (Web Text))
Max Activating Token Index: 184
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Text #17
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Max Act: 0.0149. Min Act: -0.0005
Data Index: 97723 (C4 (Web Text))
Max Activating Token Index: 298
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Text #18
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Max Act: 0.0149. Min Act: -0.0005
Data Index: 866759 (C4 (Web Text))
Max Activating Token Index: 591
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Text #19
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Max Act: 0.0149. Min Act: -0.0005
Data Index: 1415578 (Python Code)
Max Activating Token Index: 617
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