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

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

Neuron 1751 in Layer 0

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

Text #0

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Max Act: 0.0174. Min Act: -0.0006

Data Index: 192273 (C4 (Web Text))

Max Activating Token Index: 328

Text #1

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Max Act: 0.0162. Min Act: -0.0006

Data Index: 375782 (C4 (Web Text))

Max Activating Token Index: 414

Text #2

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Data Index: 1010328 (C4 (Web Text))

Max Activating Token Index: 831

Text #3

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Max Act: 0.0150. Min Act: -0.0006

Data Index: 544977 (C4 (Web Text))

Max Activating Token Index: 622

Text #4

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Data Index: 965677 (C4 (Web Text))

Max Activating Token Index: 470

Text #5

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Data Index: 302524 (C4 (Web Text))

Max Activating Token Index: 526

Text #6

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Max Activating Token Index: 114

Text #7

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Text #8

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Max Activating Token Index: 420

Text #9

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Max Activating Token Index: 152

Text #10

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Max Activating Token Index: 680

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Max Activating Token Index: 906

Text #12

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Max Activating Token Index: 54

Text #13

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Data Index: 618456 (C4 (Web Text))

Max Activating Token Index: 479

Text #14

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Data Index: 105242 (C4 (Web Text))

Max Activating Token Index: 351

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 1016

Text #18

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Max Activating Token Index: 599

Text #19

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Data Index: 148507 (C4 (Web Text))

Max Activating Token Index: 552