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

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

Neuron 230 in Layer 0

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

Text #0

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Max Act: 0.0334. Min Act: -0.0006

Data Index: 297467 (C4 (Web Text))

Max Activating Token Index: 137

Text #1

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Max Act: 0.0331. Min Act: -0.0006

Data Index: 1339330 (C4 (Web Text))

Max Activating Token Index: 104

Text #2

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Max Act: 0.0319. Min Act: -0.0006

Data Index: 696434 (C4 (Web Text))

Max Activating Token Index: 791

Text #3

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Max Act: 0.0317. Min Act: -0.0006

Data Index: 217014 (C4 (Web Text))

Max Activating Token Index: 144

Text #4

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Max Act: 0.0309. Min Act: -0.0006

Data Index: 98896 (C4 (Web Text))

Max Activating Token Index: 199

Text #5

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Max Activating Token Index: 138

Text #6

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Max Activating Token Index: 306

Text #7

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Text #8

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Max Activating Token Index: 394

Text #9

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Text #10

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Max Activating Token Index: 592

Text #11

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Max Activating Token Index: 113

Text #12

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Max Activating Token Index: 629

Text #13

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Data Index: 1281254 (C4 (Web Text))

Max Activating Token Index: 522

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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Max Activating Token Index: 235

Text #19

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Data Index: 447458 (C4 (Web Text))

Max Activating Token Index: 731