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

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

Neuron 4316 in Layer 0

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

Text #0

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 317866 (C4 (Web Text))

Max Activating Token Index: 319

Text #1

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Max Act: 0.0060. Min Act: -0.0002

Data Index: 656952 (C4 (Web Text))

Max Activating Token Index: 438

Text #2

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Max Act: 0.0058. Min Act: -0.0002

Data Index: 1762 (C4 (Web Text))

Max Activating Token Index: 317

Text #3

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Max Act: 0.0058. Min Act: -0.0002

Data Index: 68152 (C4 (Web Text))

Max Activating Token Index: 395

Text #4

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 1203596 (C4 (Web Text))

Max Activating Token Index: 381

Text #5

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Max Act: 0.0054. Min Act: -0.0002

Data Index: 1202860 (C4 (Web Text))

Max Activating Token Index: 298

Text #6

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Max Activating Token Index: 243

Text #7

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Max Activating Token Index: 253

Text #8

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Max Activating Token Index: 366

Text #9

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Max Activating Token Index: 677

Text #10

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Max Activating Token Index: 627

Text #11

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Max Activating Token Index: 558

Text #12

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Max Activating Token Index: 528

Text #13

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Data Index: 736631 (C4 (Web Text))

Max Activating Token Index: 616

Text #14

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Max Activating Token Index: 824

Text #15

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Max Activating Token Index: 414

Text #16

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Text #17

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Max Activating Token Index: 319

Text #18

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Max Activating Token Index: 616

Text #19

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Max Act: 0.0049. Min Act: -0.0002

Data Index: 404393 (C4 (Web Text))

Max Activating Token Index: 249