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

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

Neuron 1759 in Layer 1

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

Text #0

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Max Act: 0.1640. Min Act: -0.0003

Data Index: 472018 (C4 (Web Text))

Max Activating Token Index: 561

Text #1

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Max Act: 0.1357. Min Act: -0.0003

Data Index: 793003 (C4 (Web Text))

Max Activating Token Index: 538

Text #2

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Max Act: 0.1339. Min Act: -0.0003

Data Index: 500973 (C4 (Web Text))

Max Activating Token Index: 686

Text #3

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Max Act: 0.1260. Min Act: -0.0003

Data Index: 227207 (C4 (Web Text))

Max Activating Token Index: 914

Text #4

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Max Act: 0.1273. Min Act: -0.0003

Data Index: 1205447 (C4 (Web Text))

Max Activating Token Index: 627

Text #5

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Max Act: 0.1190. Min Act: -0.0003

Data Index: 648819 (C4 (Web Text))

Max Activating Token Index: 381

Text #6

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Data Index: 329491 (C4 (Web Text))

Max Activating Token Index: 811

Text #7

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Max Activating Token Index: 146

Text #8

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Data Index: 313857 (C4 (Web Text))

Max Activating Token Index: 427

Text #9

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Data Index: 565241 (C4 (Web Text))

Max Activating Token Index: 160

Text #10

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Data Index: 340803 (C4 (Web Text))

Max Activating Token Index: 492

Text #11

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Max Activating Token Index: 45

Text #12

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Max Activating Token Index: 989

Text #13

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Data Index: 14825 (C4 (Web Text))

Max Activating Token Index: 524

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 83518 (C4 (Web Text))

Max Activating Token Index: 41