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

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

Neuron 6 in Layer 0

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

Text #0

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Max Act: 0.0184. Min Act: -0.0004

Data Index: 694387 (C4 (Web Text))

Max Activating Token Index: 603

Text #1

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Max Activating Token Index: 185

Text #2

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Data Index: 204311 (C4 (Web Text))

Max Activating Token Index: 428

Text #3

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Max Act: 0.0172. Min Act: -0.0004

Data Index: 288916 (C4 (Web Text))

Max Activating Token Index: 432

Text #4

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Data Index: 1016320 (C4 (Web Text))

Max Activating Token Index: 126

Text #5

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Max Activating Token Index: 813

Text #6

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Max Activating Token Index: 410

Text #7

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Max Activating Token Index: 808

Text #8

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Max Activating Token Index: 389

Text #9

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Max Activating Token Index: 553

Text #10

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Max Activating Token Index: 385

Text #11

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Max Activating Token Index: 83

Text #12

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Max Activating Token Index: 779

Text #13

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Max Activating Token Index: 519

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 441

Text #18

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Max Activating Token Index: 888

Text #19

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Data Index: 97017 (C4 (Web Text))

Max Activating Token Index: 722