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

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

Neuron 3225 in Layer 1

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

Text #0

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 1318727 (C4 (Web Text))

Max Activating Token Index: 513

Text #1

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 1265109 (C4 (Web Text))

Max Activating Token Index: 524

Text #2

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Max Act: 0.0351. Min Act: -0.0003

Data Index: 298683 (C4 (Web Text))

Max Activating Token Index: 104

Text #3

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Max Act: 0.0357. Min Act: -0.0003

Data Index: 1000557 (C4 (Web Text))

Max Activating Token Index: 895

Text #4

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 72485 (C4 (Web Text))

Max Activating Token Index: 114

Text #5

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Max Act: 0.0363. Min Act: -0.0003

Data Index: 1032043 (C4 (Web Text))

Max Activating Token Index: 267

Text #6

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Max Activating Token Index: 764

Text #7

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Max Activating Token Index: 182

Text #8

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Data Index: 693739 (C4 (Web Text))

Max Activating Token Index: 46

Text #9

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Data Index: 1234155 (C4 (Web Text))

Max Activating Token Index: 263

Text #10

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Max Activating Token Index: 383

Text #11

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Data Index: 1194144 (C4 (Web Text))

Max Activating Token Index: 450

Text #12

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Data Index: 174603 (C4 (Web Text))

Max Activating Token Index: 409

Text #13

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Data Index: 1017271 (C4 (Web Text))

Max Activating Token Index: 404

Text #14

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Data Index: 449686 (C4 (Web Text))

Max Activating Token Index: 399

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 550

Text #18

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Max Activating Token Index: 695

Text #19

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Data Index: 1247682 (C4 (Web Text))

Max Activating Token Index: 119