Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2034 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0172. Min Act: -0.0006

Data Index: 890658 (C4 (Web Text))

Max Activating Token Index: 198

Text #1

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Max Act: 0.0160. Min Act: -0.0005

Data Index: 1297445 (C4 (Web Text))

Max Activating Token Index: 501

Text #2

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Max Act: 0.0160. Min Act: -0.0006

Data Index: 1217124 (C4 (Web Text))

Max Activating Token Index: 519

Text #3

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Max Act: 0.0164. Min Act: -0.0005

Data Index: 356674 (C4 (Web Text))

Max Activating Token Index: 918

Text #4

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Max Act: 0.0157. Min Act: -0.0005

Data Index: 1341883 (C4 (Web Text))

Max Activating Token Index: 326

Text #5

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Data Index: 191465 (C4 (Web Text))

Max Activating Token Index: 591

Text #6

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Max Activating Token Index: 634

Text #7

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Max Activating Token Index: 605

Text #8

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Max Activating Token Index: 80

Text #9

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Max Activating Token Index: 975

Text #10

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Data Index: 204330 (C4 (Web Text))

Max Activating Token Index: 390

Text #11

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Data Index: 1117530 (C4 (Web Text))

Max Activating Token Index: 557

Text #12

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Max Activating Token Index: 284

Text #13

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Max Activating Token Index: 866

Text #14

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Data Index: 129862 (C4 (Web Text))

Max Activating Token Index: 423

Text #15

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Max Activating Token Index: 676

Text #16

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Text #17

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Max Activating Token Index: 358

Text #18

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Max Activating Token Index: 594

Text #19

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Data Index: 614334 (C4 (Web Text))

Max Activating Token Index: 205