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

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

Neuron 1809 in Layer 1

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

Text #0

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 973240 (C4 (Web Text))

Max Activating Token Index: 39

Text #1

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Max Act: 0.0401. Min Act: -0.0003

Data Index: 283197 (C4 (Web Text))

Max Activating Token Index: 483

Text #2

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Max Act: 0.0377. Min Act: -0.0004

Data Index: 406136 (C4 (Web Text))

Max Activating Token Index: 306

Text #3

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 872100 (C4 (Web Text))

Max Activating Token Index: 739

Text #4

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Max Act: 0.0365. Min Act: -0.0004

Data Index: 188352 (C4 (Web Text))

Max Activating Token Index: 611

Text #5

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 12358 (C4 (Web Text))

Max Activating Token Index: 675

Text #6

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Max Activating Token Index: 992

Text #7

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Max Activating Token Index: 168

Text #8

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Max Activating Token Index: 390

Text #9

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Max Activating Token Index: 954

Text #10

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Max Activating Token Index: 880

Text #11

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Max Activating Token Index: 247

Text #12

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Max Activating Token Index: 160

Text #13

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Max Activating Token Index: 814

Text #14

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Max Activating Token Index: 516

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 1005

Text #19

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Data Index: 999506 (C4 (Web Text))

Max Activating Token Index: 132