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

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

Neuron 1412 in Layer 1

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

Text #0

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Max Act: 0.0375. Min Act: -0.0006

Data Index: 148344 (C4 (Web Text))

Max Activating Token Index: 956

Text #1

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Max Act: 0.0400. Min Act: -0.0006

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Max Activating Token Index: 914

Text #2

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Max Act: 0.0392. Min Act: -0.0005

Data Index: 516483 (C4 (Web Text))

Max Activating Token Index: 265

Text #3

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Max Act: 0.0391. Min Act: -0.0006

Data Index: 57317 (C4 (Web Text))

Max Activating Token Index: 411

Text #4

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Max Act: 0.0333. Min Act: -0.0006

Data Index: 1124662 (C4 (Web Text))

Max Activating Token Index: 258

Text #5

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Max Activating Token Index: 356

Text #6

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Text #7

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Max Activating Token Index: 751

Text #8

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Max Activating Token Index: 479

Text #9

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Max Activating Token Index: 546

Text #10

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Max Activating Token Index: 151

Text #11

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Max Activating Token Index: 261

Text #12

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Max Activating Token Index: 619

Text #13

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Max Activating Token Index: 511

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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Text #19

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Data Index: 996043 (C4 (Web Text))

Max Activating Token Index: 980