Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2767 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0454. Min Act: -0.0002

Data Index: 912038 (C4 (Web Text))

Max Activating Token Index: 145

Text #1

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Max Activating Token Index: 947

Text #2

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Max Act: 0.0442. Min Act: -0.0002

Data Index: 344919 (C4 (Web Text))

Max Activating Token Index: 800

Text #3

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Max Act: 0.0428. Min Act: -0.0002

Data Index: 437796 (C4 (Web Text))

Max Activating Token Index: 955

Text #4

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Max Act: 0.0423. Min Act: -0.0002

Data Index: 1022826 (C4 (Web Text))

Max Activating Token Index: 315

Text #5

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Data Index: 968737 (C4 (Web Text))

Max Activating Token Index: 870

Text #6

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Data Index: 244464 (C4 (Web Text))

Max Activating Token Index: 970

Text #7

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Max Activating Token Index: 20

Text #8

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Max Activating Token Index: 315

Text #9

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Data Index: 812511 (C4 (Web Text))

Max Activating Token Index: 164

Text #10

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Data Index: 942056 (C4 (Web Text))

Max Activating Token Index: 804

Text #11

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Data Index: 546163 (C4 (Web Text))

Max Activating Token Index: 269

Text #12

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Max Activating Token Index: 799

Text #13

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Data Index: 1279665 (C4 (Web Text))

Max Activating Token Index: 23

Text #14

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Data Index: 851449 (C4 (Web Text))

Max Activating Token Index: 466

Text #15

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Data Index: 5854 (C4 (Web Text))

Max Activating Token Index: 374

Text #16

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Max Activating Token Index: 790

Text #17

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Max Activating Token Index: 30

Text #18

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Max Activating Token Index: 828

Text #19

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Max Act: 0.0394. Min Act: -0.0002

Data Index: 147883 (C4 (Web Text))

Max Activating Token Index: 495