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

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

Neuron 1343 in Layer 1

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

Text #0

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 20809 (C4 (Web Text))

Max Activating Token Index: 315

Text #1

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Max Act: 0.0365. Min Act: -0.0003

Data Index: 942761 (C4 (Web Text))

Max Activating Token Index: 276

Text #2

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Max Act: 0.0340. Min Act: -0.0003

Data Index: 868359 (C4 (Web Text))

Max Activating Token Index: 887

Text #3

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Max Act: 0.0323. Min Act: -0.0003

Data Index: 356479 (C4 (Web Text))

Max Activating Token Index: 23

Text #4

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 305363 (C4 (Web Text))

Max Activating Token Index: 998

Text #5

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Max Act: 0.0296. Min Act: -0.0003

Data Index: 453712 (C4 (Web Text))

Max Activating Token Index: 244

Text #6

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Data Index: 922173 (C4 (Web Text))

Max Activating Token Index: 247

Text #7

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Max Activating Token Index: 483

Text #8

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Max Activating Token Index: 29

Text #9

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Max Activating Token Index: 175

Text #10

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Max Activating Token Index: 308

Text #11

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Data Index: 16523 (C4 (Web Text))

Max Activating Token Index: 994

Text #12

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Max Activating Token Index: 108

Text #13

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Data Index: 1295824 (C4 (Web Text))

Max Activating Token Index: 441

Text #14

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Max Activating Token Index: 278

Text #15

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Text #16

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Max Activating Token Index: 399

Text #17

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Max Activating Token Index: 617

Text #18

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Data Index: 403216 (C4 (Web Text))

Max Activating Token Index: 314

Text #19

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 388452 (C4 (Web Text))

Max Activating Token Index: 428