Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2506 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0349. Min Act: -0.0002

Data Index: 42439 (C4 (Web Text))

Max Activating Token Index: 442

Text #1

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 589593 (C4 (Web Text))

Max Activating Token Index: 823

Text #2

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1352051 (C4 (Web Text))

Max Activating Token Index: 107

Text #3

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Max Act: 0.0331. Min Act: -0.0002

Data Index: 149464 (C4 (Web Text))

Max Activating Token Index: 627

Text #4

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Max Act: 0.0327. Min Act: -0.0002

Data Index: 725601 (C4 (Web Text))

Max Activating Token Index: 706

Text #5

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Max Act: 0.0317. Min Act: -0.0002

Data Index: 305073 (C4 (Web Text))

Max Activating Token Index: 464

Text #6

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 310968 (C4 (Web Text))

Max Activating Token Index: 303

Text #7

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Data Index: 505043 (C4 (Web Text))

Max Activating Token Index: 561

Text #8

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Max Activating Token Index: 762

Text #9

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Max Activating Token Index: 980

Text #10

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Data Index: 553148 (C4 (Web Text))

Max Activating Token Index: 278

Text #11

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Data Index: 1023594 (C4 (Web Text))

Max Activating Token Index: 139

Text #12

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Data Index: 71144 (C4 (Web Text))

Max Activating Token Index: 256

Text #13

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Data Index: 120884 (C4 (Web Text))

Max Activating Token Index: 205

Text #14

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Data Index: 999425 (C4 (Web Text))

Max Activating Token Index: 509

Text #15

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Max Activating Token Index: 997

Text #16

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Max Activating Token Index: 133

Text #17

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Max Activating Token Index: 309

Text #18

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Max Activating Token Index: 690

Text #19

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Max Act: 0.0303. Min Act: -0.0002

Data Index: 1157317 (C4 (Web Text))

Max Activating Token Index: 607