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

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

Neuron 370 in Layer 2

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

Text #0

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 1143156 (C4 (Web Text))

Max Activating Token Index: 371

Text #1

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Max Act: 0.0478. Min Act: -0.0003

Data Index: 1239960 (C4 (Web Text))

Max Activating Token Index: 324

Text #2

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Max Act: 0.0479. Min Act: -0.0000

Data Index: 487853 (C4 (Web Text))

Max Activating Token Index: 188

Text #3

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 713479 (C4 (Web Text))

Max Activating Token Index: 130

Text #4

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Max Act: 0.0437. Min Act: -0.0002

Data Index: 879861 (C4 (Web Text))

Max Activating Token Index: 708

Text #5

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 403612 (C4 (Web Text))

Max Activating Token Index: 314

Text #6

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Max Act: 0.0406. Min Act: -0.0002

Data Index: 1293510 (C4 (Web Text))

Max Activating Token Index: 468

Text #7

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 1607131 (Python Code)

Max Activating Token Index: 362

Text #8

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Data Index: 1543013 (Python Code)

Max Activating Token Index: 752

Text #9

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Data Index: 245132 (C4 (Web Text))

Max Activating Token Index: 334

Text #10

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Max Activating Token Index: 218

Text #11

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Data Index: 357226 (C4 (Web Text))

Max Activating Token Index: 620

Text #12

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Data Index: 1254387 (C4 (Web Text))

Max Activating Token Index: 175

Text #13

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Data Index: 1047277 (C4 (Web Text))

Max Activating Token Index: 749

Text #14

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Data Index: 239252 (C4 (Web Text))

Max Activating Token Index: 970

Text #15

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Max Activating Token Index: 250

Text #16

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Max Activating Token Index: 85

Text #17

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Data Index: 846 (C4 (Web Text))

Max Activating Token Index: 874

Text #18

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Data Index: 1348012 (C4 (Web Text))

Max Activating Token Index: 130

Text #19

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Max Act: 0.0340. Min Act: -0.0001

Data Index: 1252067 (C4 (Web Text))

Max Activating Token Index: 1009