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

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

Neuron 1326 in Layer 1

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

Text #0

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Max Act: 0.0553. Min Act: -0.0003

Data Index: 5042 (C4 (Web Text))

Max Activating Token Index: 507

Text #1

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Max Act: 0.0539. Min Act: -0.0003

Data Index: 903699 (C4 (Web Text))

Max Activating Token Index: 584

Text #2

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Max Act: 0.0523. Min Act: -0.0003

Data Index: 256497 (C4 (Web Text))

Max Activating Token Index: 145

Text #3

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Max Act: 0.0498. Min Act: -0.0003

Data Index: 509159 (C4 (Web Text))

Max Activating Token Index: 437

Text #4

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Max Act: 0.0491. Min Act: -0.0003

Data Index: 217402 (C4 (Web Text))

Max Activating Token Index: 826

Text #5

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Max Act: 0.0486. Min Act: -0.0003

Data Index: 609538 (C4 (Web Text))

Max Activating Token Index: 423

Text #6

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Max Activating Token Index: 82

Text #7

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Max Activating Token Index: 972

Text #8

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Data Index: 118712 (C4 (Web Text))

Max Activating Token Index: 21

Text #9

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Max Activating Token Index: 86

Text #10

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Max Activating Token Index: 35

Text #11

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Max Activating Token Index: 17

Text #12

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Max Activating Token Index: 862

Text #13

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Max Activating Token Index: 69

Text #14

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Max Activating Token Index: 683

Text #15

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Text #16

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Max Activating Token Index: 239

Text #17

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Max Activating Token Index: 75

Text #18

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Data Index: 548391 (C4 (Web Text))

Max Activating Token Index: 713

Text #19

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 106302 (C4 (Web Text))

Max Activating Token Index: 809