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

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

Neuron 1016 in Layer 0

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

Text #0

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 713309 (C4 (Web Text))

Max Activating Token Index: 879

Text #1

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Data Index: 784546 (C4 (Web Text))

Max Activating Token Index: 973

Text #2

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 222849 (C4 (Web Text))

Max Activating Token Index: 896

Text #3

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Max Act: 0.0139. Min Act: -0.0004

Data Index: 1226707 (C4 (Web Text))

Max Activating Token Index: 722

Text #4

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Data Index: 385189 (C4 (Web Text))

Max Activating Token Index: 488

Text #5

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Data Index: 1154324 (C4 (Web Text))

Max Activating Token Index: 142

Text #6

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Data Index: 297995 (C4 (Web Text))

Max Activating Token Index: 362

Text #7

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Max Activating Token Index: 291

Text #8

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Max Activating Token Index: 221

Text #9

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Max Activating Token Index: 870

Text #10

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Max Activating Token Index: 312

Text #11

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Max Activating Token Index: 416

Text #12

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Max Activating Token Index: 147

Text #13

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Max Activating Token Index: 627

Text #14

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Text #15

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Max Activating Token Index: 679

Text #16

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Max Activating Token Index: 976

Text #17

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Max Activating Token Index: 545

Text #18

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Max Activating Token Index: 492

Text #19

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Data Index: 967286 (C4 (Web Text))

Max Activating Token Index: 629