Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3710 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 598672 (C4 (Web Text))

Max Activating Token Index: 345

Text #1

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 1081714 (C4 (Web Text))

Max Activating Token Index: 194

Text #2

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 421768 (C4 (Web Text))

Max Activating Token Index: 63

Text #3

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Max Act: 0.0138. Min Act: -0.0002

Data Index: 792276 (C4 (Web Text))

Max Activating Token Index: 158

Text #4

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 828166 (C4 (Web Text))

Max Activating Token Index: 342

Text #5

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 1084501 (C4 (Web Text))

Max Activating Token Index: 457

Text #6

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Data Index: 122045 (C4 (Web Text))

Max Activating Token Index: 507

Text #7

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Data Index: 573370 (C4 (Web Text))

Max Activating Token Index: 221

Text #8

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Max Activating Token Index: 458

Text #9

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Data Index: 383873 (C4 (Web Text))

Max Activating Token Index: 131

Text #10

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Data Index: 840100 (C4 (Web Text))

Max Activating Token Index: 280

Text #11

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Max Activating Token Index: 105

Text #12

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Max Activating Token Index: 722

Text #13

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Data Index: 754518 (C4 (Web Text))

Max Activating Token Index: 415

Text #14

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Data Index: 548181 (C4 (Web Text))

Max Activating Token Index: 306

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 116

Text #18

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Max Activating Token Index: 170

Text #19

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Data Index: 609730 (C4 (Web Text))

Max Activating Token Index: 318