Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2770 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0916. Min Act: -0.0003

Data Index: 503371 (C4 (Web Text))

Max Activating Token Index: 92

Text #1

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Max Act: 0.0878. Min Act: -0.0003

Data Index: 1203839 (C4 (Web Text))

Max Activating Token Index: 199

Text #2

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Max Act: 0.0937. Min Act: -0.0003

Data Index: 881862 (C4 (Web Text))

Max Activating Token Index: 89

Text #3

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Max Act: 0.0895. Min Act: -0.0003

Data Index: 568016 (C4 (Web Text))

Max Activating Token Index: 745

Text #4

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Max Act: 0.0893. Min Act: -0.0003

Data Index: 297703 (C4 (Web Text))

Max Activating Token Index: 275

Text #5

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Max Act: 0.0853. Min Act: -0.0003

Data Index: 922569 (C4 (Web Text))

Max Activating Token Index: 855

Text #6

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Data Index: 672473 (C4 (Web Text))

Max Activating Token Index: 148

Text #7

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Data Index: 863368 (C4 (Web Text))

Max Activating Token Index: 328

Text #8

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Data Index: 6964 (C4 (Web Text))

Max Activating Token Index: 104

Text #9

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Data Index: 1215079 (C4 (Web Text))

Max Activating Token Index: 83

Text #10

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Max Activating Token Index: 680

Text #11

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Data Index: 508400 (C4 (Web Text))

Max Activating Token Index: 14

Text #12

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Max Activating Token Index: 412

Text #13

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Data Index: 1377 (C4 (Web Text))

Max Activating Token Index: 108

Text #14

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Data Index: 497362 (C4 (Web Text))

Max Activating Token Index: 410

Text #15

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Max Activating Token Index: 437

Text #16

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Max Activating Token Index: 552

Text #17

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Max Activating Token Index: 475

Text #18

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Max Activating Token Index: 264

Text #19

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Max Act: 0.0819. Min Act: -0.0003

Data Index: 900577 (C4 (Web Text))

Max Activating Token Index: 941