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

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

Neuron 760 in Layer 1

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

Text #0

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Max Act: 0.0374. Min Act: -0.0006

Data Index: 220444 (C4 (Web Text))

Max Activating Token Index: 565

Text #1

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Data Index: 494988 (C4 (Web Text))

Max Activating Token Index: 275

Text #2

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Max Act: 0.0360. Min Act: -0.0006

Data Index: 9430 (C4 (Web Text))

Max Activating Token Index: 356

Text #3

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Data Index: 1101523 (C4 (Web Text))

Max Activating Token Index: 735

Text #4

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Data Index: 560233 (C4 (Web Text))

Max Activating Token Index: 379

Text #5

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Max Activating Token Index: 371

Text #6

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Max Activating Token Index: 334

Text #7

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Text #8

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Max Activating Token Index: 134

Text #9

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Max Activating Token Index: 867

Text #10

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Max Activating Token Index: 500

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 1010

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 521318 (C4 (Web Text))

Max Activating Token Index: 446

Text #19

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Data Index: 912906 (C4 (Web Text))

Max Activating Token Index: 844