Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1994 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0471. Min Act: -0.0003

Data Index: 345044 (C4 (Web Text))

Max Activating Token Index: 41

Text #1

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 169171 (C4 (Web Text))

Max Activating Token Index: 432

Text #2

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Max Act: 0.0396. Min Act: -0.0003

Data Index: 144971 (C4 (Web Text))

Max Activating Token Index: 634

Text #3

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Max Act: 0.0399. Min Act: -0.0003

Data Index: 1217314 (C4 (Web Text))

Max Activating Token Index: 85

Text #4

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Max Act: 0.0391. Min Act: -0.0003

Data Index: 1084950 (C4 (Web Text))

Max Activating Token Index: 256

Text #5

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Max Act: 0.0389. Min Act: -0.0003

Data Index: 193642 (C4 (Web Text))

Max Activating Token Index: 114

Text #6

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Max Act: 0.0402. Min Act: -0.0003

Data Index: 1205158 (C4 (Web Text))

Max Activating Token Index: 340

Text #7

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Data Index: 971423 (C4 (Web Text))

Max Activating Token Index: 264

Text #8

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Data Index: 663000 (C4 (Web Text))

Max Activating Token Index: 976

Text #9

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Data Index: 1207050 (C4 (Web Text))

Max Activating Token Index: 979

Text #10

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Data Index: 1312317 (C4 (Web Text))

Max Activating Token Index: 265

Text #11

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Data Index: 241565 (C4 (Web Text))

Max Activating Token Index: 81

Text #12

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Max Activating Token Index: 618

Text #13

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Data Index: 751822 (C4 (Web Text))

Max Activating Token Index: 436

Text #14

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Data Index: 341349 (C4 (Web Text))

Max Activating Token Index: 146

Text #15

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Max Activating Token Index: 152

Text #16

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Max Activating Token Index: 634

Text #17

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Max Activating Token Index: 570

Text #18

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Data Index: 83515 (C4 (Web Text))

Max Activating Token Index: 343

Text #19

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Data Index: 224963 (C4 (Web Text))

Max Activating Token Index: 105