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

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

Neuron 1549 in Layer 1

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

Text #0

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Max Act: 0.0417. Min Act: -0.0003

Data Index: 599648 (C4 (Web Text))

Max Activating Token Index: 517

Text #1

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Max Act: 0.0425. Min Act: -0.0003

Data Index: 36001 (C4 (Web Text))

Max Activating Token Index: 267

Text #2

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Max Act: 0.0397. Min Act: -0.0003

Data Index: 215457 (C4 (Web Text))

Max Activating Token Index: 642

Text #3

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Max Act: 0.0399. Min Act: -0.0003

Data Index: 950349 (C4 (Web Text))

Max Activating Token Index: 476

Text #4

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Data Index: 1046398 (C4 (Web Text))

Max Activating Token Index: 634

Text #5

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Max Activating Token Index: 696

Text #6

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Max Activating Token Index: 823

Text #7

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Max Activating Token Index: 162

Text #8

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Max Activating Token Index: 305

Text #9

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Max Activating Token Index: 550

Text #10

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Max Activating Token Index: 365

Text #11

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Max Activating Token Index: 148

Text #12

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Max Activating Token Index: 135

Text #13

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Max Activating Token Index: 176

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: 232

Text #18

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Max Activating Token Index: 48

Text #19

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Data Index: 1130903 (C4 (Web Text))

Max Activating Token Index: 784