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

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

Neuron 1569 in Layer 0

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

Text #0

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Max Act: 0.0159. Min Act: -0.0005

Data Index: 499916 (C4 (Web Text))

Max Activating Token Index: 820

Text #1

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Max Act: 0.0160. Min Act: -0.0004

Data Index: 863516 (C4 (Web Text))

Max Activating Token Index: 314

Text #2

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Max Act: 0.0158. Min Act: -0.0004

Data Index: 683549 (C4 (Web Text))

Max Activating Token Index: 653

Text #3

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Max Act: 0.0158. Min Act: -0.0004

Data Index: 557347 (C4 (Web Text))

Max Activating Token Index: 527

Text #4

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Max Act: 0.0151. Min Act: -0.0004

Data Index: 1005353 (C4 (Web Text))

Max Activating Token Index: 79

Text #5

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Data Index: 608914 (C4 (Web Text))

Max Activating Token Index: 325

Text #6

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Data Index: 630400 (C4 (Web Text))

Max Activating Token Index: 552

Text #7

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Max Activating Token Index: 101

Text #8

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Data Index: 431080 (C4 (Web Text))

Max Activating Token Index: 569

Text #9

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Max Activating Token Index: 887

Text #10

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Max Activating Token Index: 117

Text #11

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Data Index: 532903 (C4 (Web Text))

Max Activating Token Index: 129

Text #12

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Data Index: 734352 (C4 (Web Text))

Max Activating Token Index: 107

Text #13

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Data Index: 1284462 (C4 (Web Text))

Max Activating Token Index: 403

Text #14

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Max Activating Token Index: 22

Text #15

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Max Activating Token Index: 143

Text #16

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Max Activating Token Index: 254

Text #17

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Max Activating Token Index: 636

Text #18

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Max Activating Token Index: 406

Text #19

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Data Index: 850774 (C4 (Web Text))

Max Activating Token Index: 753