Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 609 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0400. Min Act: -0.0005

Data Index: 658752 (C4 (Web Text))

Max Activating Token Index: 494

Text #1

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Max Act: 0.0397. Min Act: -0.0005

Data Index: 888777 (C4 (Web Text))

Max Activating Token Index: 157

Text #2

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Max Act: 0.0380. Min Act: -0.0005

Data Index: 93935 (C4 (Web Text))

Max Activating Token Index: 86

Text #3

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Max Act: 0.0379. Min Act: -0.0005

Data Index: 159250 (C4 (Web Text))

Max Activating Token Index: 194

Text #4

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Max Act: 0.0355. Min Act: -0.0006

Data Index: 809800 (C4 (Web Text))

Max Activating Token Index: 292

Text #5

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Max Act: 0.0367. Min Act: -0.0005

Data Index: 425169 (C4 (Web Text))

Max Activating Token Index: 816

Text #6

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Max Activating Token Index: 77

Text #7

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Max Activating Token Index: 797

Text #8

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Max Activating Token Index: 313

Text #9

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Data Index: 756894 (C4 (Web Text))

Max Activating Token Index: 543

Text #10

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Max Activating Token Index: 380

Text #11

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Max Activating Token Index: 222

Text #12

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Max Activating Token Index: 432

Text #13

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Data Index: 702643 (C4 (Web Text))

Max Activating Token Index: 315

Text #14

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Max Activating Token Index: 25

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 436

Text #18

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Max Activating Token Index: 4

Text #19

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Data Index: 328090 (C4 (Web Text))

Max Activating Token Index: 133