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

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

Neuron 3766 in Layer 0

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

Text #0

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 1272190 (C4 (Web Text))

Max Activating Token Index: 325

Text #1

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Data Index: 549774 (C4 (Web Text))

Max Activating Token Index: 90

Text #2

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 744279 (C4 (Web Text))

Max Activating Token Index: 1007

Text #3

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 288910 (C4 (Web Text))

Max Activating Token Index: 273

Text #4

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 629386 (C4 (Web Text))

Max Activating Token Index: 697

Text #5

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Data Index: 955107 (C4 (Web Text))

Max Activating Token Index: 427

Text #6

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Data Index: 74083 (C4 (Web Text))

Max Activating Token Index: 165

Text #7

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Text #8

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Max Activating Token Index: 648

Text #9

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Max Activating Token Index: 1016

Text #10

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Data Index: 500654 (C4 (Web Text))

Max Activating Token Index: 646

Text #11

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Max Activating Token Index: 512

Text #12

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Max Activating Token Index: 485

Text #13

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Data Index: 6125 (C4 (Web Text))

Max Activating Token Index: 609

Text #14

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Data Index: 1168226 (C4 (Web Text))

Max Activating Token Index: 388

Text #15

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Max Activating Token Index: 328

Text #16

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Text #17

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Max Activating Token Index: 270

Text #18

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Data Index: 596460 (C4 (Web Text))

Max Activating Token Index: 617

Text #19

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Data Index: 513814 (C4 (Web Text))

Max Activating Token Index: 434