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

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

Neuron 1350 in Layer 1

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

Text #0

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Max Act: 0.0713. Min Act: -0.0003

Data Index: 400302 (C4 (Web Text))

Max Activating Token Index: 923

Text #1

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Max Act: 0.0640. Min Act: -0.0003

Data Index: 57550 (C4 (Web Text))

Max Activating Token Index: 968

Text #2

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Max Act: 0.0655. Min Act: -0.0003

Data Index: 812865 (C4 (Web Text))

Max Activating Token Index: 121

Text #3

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Max Act: 0.0638. Min Act: -0.0004

Data Index: 584435 (C4 (Web Text))

Max Activating Token Index: 81

Text #4

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Max Act: 0.0598. Min Act: -0.0003

Data Index: 1350197 (C4 (Web Text))

Max Activating Token Index: 225

Text #5

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Max Act: 0.0593. Min Act: -0.0002

Data Index: 911496 (C4 (Web Text))

Max Activating Token Index: 397

Text #6

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Data Index: 1076695 (C4 (Web Text))

Max Activating Token Index: 590

Text #7

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Data Index: 283673 (C4 (Web Text))

Max Activating Token Index: 176

Text #8

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Max Activating Token Index: 984

Text #9

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Max Activating Token Index: 459

Text #10

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Max Activating Token Index: 821

Text #11

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Max Activating Token Index: 736

Text #12

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Data Index: 388262 (C4 (Web Text))

Max Activating Token Index: 728

Text #13

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Data Index: 104029 (C4 (Web Text))

Max Activating Token Index: 85

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: 652

Text #18

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Data Index: 519030 (C4 (Web Text))

Max Activating Token Index: 596

Text #19

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Data Index: 725255 (C4 (Web Text))

Max Activating Token Index: 656