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

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

Neuron 740 in Layer 0

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

Text #0

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Max Act: 0.0133. Min Act: -0.0004

Data Index: 1001507 (C4 (Web Text))

Max Activating Token Index: 650

Text #1

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Max Activating Token Index: 814

Text #2

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Max Act: 0.0126. Min Act: -0.0004

Data Index: 760652 (C4 (Web Text))

Max Activating Token Index: 375

Text #3

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Data Index: 400299 (C4 (Web Text))

Max Activating Token Index: 22

Text #4

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Data Index: 153041 (C4 (Web Text))

Max Activating Token Index: 392

Text #5

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Max Act: 0.0128. Min Act: -0.0004

Data Index: 288560 (C4 (Web Text))

Max Activating Token Index: 799

Text #6

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Max Activating Token Index: 159

Text #7

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Text #8

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Max Activating Token Index: 63

Text #9

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Max Activating Token Index: 65

Text #10

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Max Activating Token Index: 502

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Max Activating Token Index: 866

Text #12

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Max Activating Token Index: 831

Text #13

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Max Activating Token Index: 481

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 61

Text #18

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Max Activating Token Index: 119

Text #19

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Data Index: 754349 (C4 (Web Text))

Max Activating Token Index: 522