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

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

Neuron 1308 in Layer 0

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

Text #0

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Max Act: 0.0093. Min Act: -0.0006

Data Index: 951872 (C4 (Web Text))

Max Activating Token Index: 426

Text #1

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Max Act: 0.0081. Min Act: -0.0006

Data Index: 391827 (C4 (Web Text))

Max Activating Token Index: 380

Text #2

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Max Act: 0.0074. Min Act: -0.0006

Data Index: 1110719 (C4 (Web Text))

Max Activating Token Index: 740

Text #3

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Max Act: 0.0071. Min Act: -0.0005

Data Index: 706816 (C4 (Web Text))

Max Activating Token Index: 722

Text #4

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 617565 (C4 (Web Text))

Max Activating Token Index: 405

Text #5

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Max Activating Token Index: 990

Text #6

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Max Activating Token Index: 306

Text #7

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Max Activating Token Index: 606

Text #8

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Max Activating Token Index: 680

Text #9

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Data Index: 632036 (C4 (Web Text))

Max Activating Token Index: 560

Text #10

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Data Index: 388233 (C4 (Web Text))

Max Activating Token Index: 94

Text #11

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Max Activating Token Index: 588

Text #12

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Max Activating Token Index: 443

Text #13

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Max Activating Token Index: 682

Text #14

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Max Activating Token Index: 307

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 297

Text #18

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Text #19

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Data Index: 1227589 (C4 (Web Text))

Max Activating Token Index: 880