Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 605 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0075. Min Act: -0.0006
Data Index: 299817 (C4 (Web Text))
Max Activating Token Index: 515
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Text #1
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Max Act: 0.0071. Min Act: -0.0006
Data Index: 75320 (C4 (Web Text))
Max Activating Token Index: 1005
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Text #2
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Max Act: 0.0070. Min Act: -0.0006
Data Index: 268052 (C4 (Web Text))
Max Activating Token Index: 845
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Text #3
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Max Act: 0.0067. Min Act: -0.0006
Data Index: 1051466 (C4 (Web Text))
Max Activating Token Index: 973
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Text #4
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Max Act: 0.0070. Min Act: -0.0006
Data Index: 1104224 (C4 (Web Text))
Max Activating Token Index: 469
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Text #5
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Data Index: 454710 (C4 (Web Text))
Max Activating Token Index: 34
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Text #6
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Data Index: 62465 (C4 (Web Text))
Max Activating Token Index: 293
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Text #7
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Data Index: 1104549 (C4 (Web Text))
Max Activating Token Index: 388
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Text #8
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Data Index: 1340789 (C4 (Web Text))
Max Activating Token Index: 183
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Text #9
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Data Index: 574768 (C4 (Web Text))
Max Activating Token Index: 308
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Text #10
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Data Index: 1409814 (Python Code)
Max Activating Token Index: 661
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Text #11
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Data Index: 520815 (C4 (Web Text))
Max Activating Token Index: 497
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Text #12
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Data Index: 1013817 (C4 (Web Text))
Max Activating Token Index: 909
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Text #13
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Data Index: 372461 (C4 (Web Text))
Max Activating Token Index: 386
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Text #14
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Max Act: 0.0063. Min Act: -0.0006
Data Index: 318883 (C4 (Web Text))
Max Activating Token Index: 320
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Text #15
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Data Index: 606200 (C4 (Web Text))
Max Activating Token Index: 686
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Text #16
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Data Index: 1652627 (Python Code)
Max Activating Token Index: 822
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Text #17
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Max Act: 0.0065. Min Act: -0.0006
Data Index: 915727 (C4 (Web Text))
Max Activating Token Index: 246
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Text #18
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Max Act: 0.0065. Min Act: -0.0006
Data Index: 761095 (C4 (Web Text))
Max Activating Token Index: 425
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Text #19
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Data Index: 1218035 (C4 (Web Text))
Max Activating Token Index: 78
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