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

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

Neuron 3637 in Layer 2

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

Text #0

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Max Act: 0.0606. Min Act: -0.0002

Data Index: 147139 (C4 (Web Text))

Max Activating Token Index: 316

Text #1

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Max Act: 0.0596. Min Act: -0.0002

Data Index: 776389 (C4 (Web Text))

Max Activating Token Index: 432

Text #2

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Max Act: 0.0615. Min Act: -0.0002

Data Index: 1167433 (C4 (Web Text))

Max Activating Token Index: 785

Text #3

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Max Act: 0.0557. Min Act: -0.0002

Data Index: 1112109 (C4 (Web Text))

Max Activating Token Index: 73

Text #4

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Max Act: 0.0588. Min Act: -0.0002

Data Index: 114302 (C4 (Web Text))

Max Activating Token Index: 604

Text #5

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Max Activating Token Index: 877

Text #6

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Max Activating Token Index: 12

Text #7

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Max Activating Token Index: 806

Text #8

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Data Index: 109001 (C4 (Web Text))

Max Activating Token Index: 311

Text #9

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Max Activating Token Index: 186

Text #10

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Max Activating Token Index: 176

Text #11

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Max Activating Token Index: 398

Text #12

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Data Index: 1291463 (C4 (Web Text))

Max Activating Token Index: 448

Text #13

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Data Index: 208544 (C4 (Web Text))

Max Activating Token Index: 95

Text #14

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Data Index: 641693 (C4 (Web Text))

Max Activating Token Index: 379

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 565

Text #18

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Max Activating Token Index: 67

Text #19

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Data Index: 740248 (C4 (Web Text))

Max Activating Token Index: 13