Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1003 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 316496 (C4 (Web Text))

Max Activating Token Index: 840

Text #1

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Max Act: 0.0154. Min Act: -0.0005

Data Index: 1176757 (C4 (Web Text))

Max Activating Token Index: 709

Text #2

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Max Act: 0.0153. Min Act: -0.0004

Data Index: 241909 (C4 (Web Text))

Max Activating Token Index: 1002

Text #3

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Max Act: 0.0151. Min Act: -0.0004

Data Index: 237045 (C4 (Web Text))

Max Activating Token Index: 477

Text #4

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Max Act: 0.0150. Min Act: -0.0004

Data Index: 943405 (C4 (Web Text))

Max Activating Token Index: 616

Text #5

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Max Act: 0.0150. Min Act: -0.0005

Data Index: 1176528 (C4 (Web Text))

Max Activating Token Index: 790

Text #6

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Data Index: 34892 (C4 (Web Text))

Max Activating Token Index: 952

Text #7

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Max Activating Token Index: 784

Text #8

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Max Activating Token Index: 890

Text #9

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Max Activating Token Index: 297

Text #10

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Max Activating Token Index: 492

Text #11

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Max Activating Token Index: 866

Text #12

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Max Activating Token Index: 914

Text #13

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Max Activating Token Index: 987

Text #14

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Max Activating Token Index: 609

Text #15

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Text #16

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Max Activating Token Index: 947

Text #17

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Max Activating Token Index: 281

Text #18

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Max Activating Token Index: 381

Text #19

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Data Index: 658533 (C4 (Web Text))

Max Activating Token Index: 669