Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 410 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 648047 (C4 (Web Text))

Max Activating Token Index: 721

Text #1

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Max Act: 0.0101. Min Act: -0.0005

Data Index: 497741 (C4 (Web Text))

Max Activating Token Index: 315

Text #2

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Max Act: 0.0098. Min Act: -0.0005

Data Index: 829241 (C4 (Web Text))

Max Activating Token Index: 371

Text #3

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Data Index: 169431 (C4 (Web Text))

Max Activating Token Index: 789

Text #4

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Data Index: 968241 (C4 (Web Text))

Max Activating Token Index: 814

Text #5

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Max Activating Token Index: 271

Text #6

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Max Activating Token Index: 89

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 373

Text #10

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Data Index: 673513 (C4 (Web Text))

Max Activating Token Index: 396

Text #11

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Max Activating Token Index: 587

Text #12

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Max Activating Token Index: 148

Text #13

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Max Activating Token Index: 518

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 474

Text #19

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Data Index: 233063 (C4 (Web Text))

Max Activating Token Index: 14