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

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

Neuron 1474 in Layer 1

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

Text #0

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 33911 (C4 (Web Text))

Max Activating Token Index: 62

Text #1

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 99122 (C4 (Web Text))

Max Activating Token Index: 315

Text #2

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Max Act: 0.0411. Min Act: -0.0002

Data Index: 1286735 (C4 (Web Text))

Max Activating Token Index: 188

Text #3

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Max Act: 0.0401. Min Act: -0.0002

Data Index: 700387 (C4 (Web Text))

Max Activating Token Index: 958

Text #4

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 608657 (C4 (Web Text))

Max Activating Token Index: 139

Text #5

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 304881 (C4 (Web Text))

Max Activating Token Index: 71

Text #6

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Data Index: 790495 (C4 (Web Text))

Max Activating Token Index: 119

Text #7

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Max Activating Token Index: 236

Text #8

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Data Index: 577346 (C4 (Web Text))

Max Activating Token Index: 418

Text #9

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Data Index: 951869 (C4 (Web Text))

Max Activating Token Index: 54

Text #10

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Max Activating Token Index: 100

Text #11

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Max Activating Token Index: 147

Text #12

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Max Activating Token Index: 996

Text #13

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Data Index: 1134797 (C4 (Web Text))

Max Activating Token Index: 207

Text #14

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Max Activating Token Index: 307

Text #15

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Max Activating Token Index: 311

Text #16

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Max Activating Token Index: 386

Text #17

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Max Activating Token Index: 359

Text #18

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Max Activating Token Index: 701

Text #19

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Data Index: 362908 (C4 (Web Text))

Max Activating Token Index: 413