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

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

Neuron 1081 in Layer 1

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

Text #0

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Max Act: 0.0452. Min Act: -0.0006

Data Index: 20832 (C4 (Web Text))

Max Activating Token Index: 451

Text #1

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Max Act: 0.0412. Min Act: -0.0006

Data Index: 410747 (C4 (Web Text))

Max Activating Token Index: 243

Text #2

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Max Act: 0.0399. Min Act: -0.0006

Data Index: 1078156 (C4 (Web Text))

Max Activating Token Index: 757

Text #3

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Max Act: 0.0373. Min Act: -0.0005

Data Index: 893942 (C4 (Web Text))

Max Activating Token Index: 447

Text #4

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Max Act: 0.0399. Min Act: -0.0006

Data Index: 1295201 (C4 (Web Text))

Max Activating Token Index: 257

Text #5

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Max Act: 0.0372. Min Act: -0.0006

Data Index: 169801 (C4 (Web Text))

Max Activating Token Index: 66

Text #6

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Max Activating Token Index: 299

Text #7

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Max Activating Token Index: 226

Text #8

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Max Activating Token Index: 521

Text #9

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Data Index: 231749 (C4 (Web Text))

Max Activating Token Index: 225

Text #10

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Max Activating Token Index: 548

Text #11

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Data Index: 392972 (C4 (Web Text))

Max Activating Token Index: 135

Text #12

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Max Activating Token Index: 118

Text #13

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Data Index: 195085 (C4 (Web Text))

Max Activating Token Index: 106

Text #14

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Max Activating Token Index: 611

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 161

Text #18

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Data Index: 379796 (C4 (Web Text))

Max Activating Token Index: 846

Text #19

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Data Index: 503390 (C4 (Web Text))

Max Activating Token Index: 478