Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 427 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 757132 (C4 (Web Text))

Max Activating Token Index: 489

Text #1

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 1316773 (C4 (Web Text))

Max Activating Token Index: 265

Text #2

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 401568 (C4 (Web Text))

Max Activating Token Index: 728

Text #3

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Max Act: 0.0073. Min Act: -0.0006

Data Index: 1073241 (C4 (Web Text))

Max Activating Token Index: 40

Text #4

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Max Act: 0.0073. Min Act: -0.0006

Data Index: 331891 (C4 (Web Text))

Max Activating Token Index: 738

Text #5

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Data Index: 1021249 (C4 (Web Text))

Max Activating Token Index: 140

Text #6

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 1121914 (C4 (Web Text))

Max Activating Token Index: 1014

Text #7

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Data Index: 1495372 (Python Code)

Max Activating Token Index: 160

Text #8

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Data Index: 944707 (C4 (Web Text))

Max Activating Token Index: 648

Text #9

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Max Activating Token Index: 1008

Text #10

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Max Activating Token Index: 57

Text #11

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Max Activating Token Index: 359

Text #12

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Max Activating Token Index: 628

Text #13

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Max Activating Token Index: 306

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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Data Index: 367636 (C4 (Web Text))

Max Activating Token Index: 112

Text #19

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Max Act: 0.0067. Min Act: -0.0006

Data Index: 199294 (C4 (Web Text))

Max Activating Token Index: 961