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

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

Neuron 635 in Layer 1

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

Text #0

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 859521 (C4 (Web Text))

Max Activating Token Index: 307

Text #1

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1293377 (C4 (Web Text))

Max Activating Token Index: 366

Text #2

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 251746 (C4 (Web Text))

Max Activating Token Index: 166

Text #3

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Max Act: 0.0172. Min Act: -0.0003

Data Index: 266103 (C4 (Web Text))

Max Activating Token Index: 675

Text #4

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 516033 (C4 (Web Text))

Max Activating Token Index: 370

Text #5

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Max Act: 0.0171. Min Act: -0.0003

Data Index: 516431 (C4 (Web Text))

Max Activating Token Index: 156

Text #6

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Data Index: 462450 (C4 (Web Text))

Max Activating Token Index: 689

Text #7

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Data Index: 420772 (C4 (Web Text))

Max Activating Token Index: 308

Text #8

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Max Activating Token Index: 543

Text #9

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Data Index: 28883 (C4 (Web Text))

Max Activating Token Index: 444

Text #10

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Max Activating Token Index: 218

Text #11

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Max Activating Token Index: 998

Text #12

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Max Activating Token Index: 660

Text #13

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Data Index: 270303 (C4 (Web Text))

Max Activating Token Index: 335

Text #14

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Data Index: 470677 (C4 (Web Text))

Max Activating Token Index: 482

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 861

Text #18

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Data Index: 884468 (C4 (Web Text))

Max Activating Token Index: 570

Text #19

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 517069 (C4 (Web Text))

Max Activating Token Index: 342