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

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

Neuron 997 in Layer 1

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

Text #0

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Max Act: 0.0987. Min Act: -0.0003

Data Index: 1212439 (C4 (Web Text))

Max Activating Token Index: 268

Text #1

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Data Index: 42653 (C4 (Web Text))

Max Activating Token Index: 310

Text #2

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Max Act: 0.0879. Min Act: -0.0003

Data Index: 324336 (C4 (Web Text))

Max Activating Token Index: 82

Text #3

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Max Act: 0.0818. Min Act: -0.0003

Data Index: 606888 (C4 (Web Text))

Max Activating Token Index: 405

Text #4

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Max Act: 0.0806. Min Act: -0.0003

Data Index: 1208878 (C4 (Web Text))

Max Activating Token Index: 724

Text #5

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Max Act: 0.0801. Min Act: -0.0003

Data Index: 1283629 (C4 (Web Text))

Max Activating Token Index: 221

Text #6

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Max Act: 0.0786. Min Act: -0.0003

Data Index: 721339 (C4 (Web Text))

Max Activating Token Index: 549

Text #7

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Max Activating Token Index: 610

Text #8

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Max Activating Token Index: 203

Text #9

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Max Activating Token Index: 735

Text #10

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Max Activating Token Index: 377

Text #11

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Max Activating Token Index: 36

Text #12

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Max Activating Token Index: 537

Text #13

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Data Index: 347043 (C4 (Web Text))

Max Activating Token Index: 766

Text #14

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Max Activating Token Index: 625

Text #15

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Text #16

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Max Activating Token Index: 401

Text #17

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Max Activating Token Index: 976

Text #18

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Data Index: 846492 (C4 (Web Text))

Max Activating Token Index: 499

Text #19

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Data Index: 196587 (C4 (Web Text))

Max Activating Token Index: 611