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

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

Neuron 287 in Layer 1

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

Text #0

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Data Index: 1311514 (C4 (Web Text))

Max Activating Token Index: 180

Text #1

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Max Activating Token Index: 662

Text #2

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Max Act: 0.1155. Min Act: -0.0003

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Max Activating Token Index: 734

Text #3

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Max Act: 0.1160. Min Act: -0.0003

Data Index: 355199 (C4 (Web Text))

Max Activating Token Index: 906

Text #4

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Data Index: 886009 (C4 (Web Text))

Max Activating Token Index: 670

Text #5

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Max Activating Token Index: 1014

Text #6

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Max Activating Token Index: 899

Text #7

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Max Activating Token Index: 495

Text #8

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Max Activating Token Index: 898

Text #9

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Max Activating Token Index: 626

Text #10

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Max Activating Token Index: 515

Text #11

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Max Activating Token Index: 515

Text #12

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Max Activating Token Index: 595

Text #13

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Max Activating Token Index: 264

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 406

Text #19

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Data Index: 1086940 (C4 (Web Text))

Max Activating Token Index: 367