Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 30 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 198062 (C4 (Web Text))

Max Activating Token Index: 446

Text #1

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 436751 (C4 (Web Text))

Max Activating Token Index: 876

Text #2

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 371067 (C4 (Web Text))

Max Activating Token Index: 507

Text #3

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 867463 (C4 (Web Text))

Max Activating Token Index: 821

Text #4

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Data Index: 1197206 (C4 (Web Text))

Max Activating Token Index: 572

Text #5

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Max Act: 0.0343. Min Act: -0.0003

Data Index: 300396 (C4 (Web Text))

Max Activating Token Index: 342

Text #6

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Data Index: 438964 (C4 (Web Text))

Max Activating Token Index: 605

Text #7

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Data Index: 93720 (C4 (Web Text))

Max Activating Token Index: 211

Text #8

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Max Activating Token Index: 529

Text #9

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Max Activating Token Index: 706

Text #10

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Max Activating Token Index: 458

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Max Activating Token Index: 966

Text #12

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Max Activating Token Index: 598

Text #13

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Max Activating Token Index: 224

Text #14

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Max Activating Token Index: 612

Text #15

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Max Activating Token Index: 840

Text #16

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Max Activating Token Index: 499

Text #17

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Max Activating Token Index: 185

Text #18

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Max Activating Token Index: 569

Text #19

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Data Index: 202679 (C4 (Web Text))

Max Activating Token Index: 192