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

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

Neuron 3425 in Layer 2

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

Text #0

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 911245 (C4 (Web Text))

Max Activating Token Index: 660

Text #1

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Max Act: 0.0307. Min Act: -0.0002

Data Index: 335219 (C4 (Web Text))

Max Activating Token Index: 86

Text #2

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 83301 (C4 (Web Text))

Max Activating Token Index: 813

Text #3

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Max Act: 0.0271. Min Act: -0.0002

Data Index: 226209 (C4 (Web Text))

Max Activating Token Index: 225

Text #4

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Data Index: 379561 (C4 (Web Text))

Max Activating Token Index: 875

Text #5

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Data Index: 881024 (C4 (Web Text))

Max Activating Token Index: 912

Text #6

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Data Index: 115853 (C4 (Web Text))

Max Activating Token Index: 752

Text #7

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Data Index: 321808 (C4 (Web Text))

Max Activating Token Index: 323

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Data Index: 113872 (C4 (Web Text))

Max Activating Token Index: 203

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Max Activating Token Index: 671

Text #10

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Max Activating Token Index: 553

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Max Activating Token Index: 467

Text #12

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Max Activating Token Index: 209

Text #13

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Max Activating Token Index: 71

Text #14

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Data Index: 961001 (C4 (Web Text))

Max Activating Token Index: 702

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 64

Text #18

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Data Index: 246622 (C4 (Web Text))

Max Activating Token Index: 569

Text #19

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Data Index: 703362 (C4 (Web Text))

Max Activating Token Index: 203