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

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

Neuron 3140 in Layer 1

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

Text #0

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Max Act: 0.0302. Min Act: -0.0002

Data Index: 893972 (C4 (Web Text))

Max Activating Token Index: 22

Text #1

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Data Index: 428633 (C4 (Web Text))

Max Activating Token Index: 73

Text #2

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Max Act: 0.0284. Min Act: -0.0003

Data Index: 805375 (C4 (Web Text))

Max Activating Token Index: 331

Text #3

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 697115 (C4 (Web Text))

Max Activating Token Index: 14

Text #4

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Data Index: 592344 (C4 (Web Text))

Max Activating Token Index: 398

Text #5

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Max Act: 0.0236. Min Act: -0.0003

Data Index: 408785 (C4 (Web Text))

Max Activating Token Index: 83

Text #6

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Max Activating Token Index: 83

Text #7

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Max Activating Token Index: 629

Text #8

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Data Index: 133875 (C4 (Web Text))

Max Activating Token Index: 176

Text #9

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Max Activating Token Index: 652

Text #10

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Data Index: 240745 (C4 (Web Text))

Max Activating Token Index: 311

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Data Index: 512799 (C4 (Web Text))

Max Activating Token Index: 406

Text #12

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Max Activating Token Index: 366

Text #13

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Max Activating Token Index: 968

Text #14

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Text #15

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Max Activating Token Index: 30

Text #16

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Max Activating Token Index: 228

Text #17

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Max Activating Token Index: 561

Text #18

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Max Activating Token Index: 629

Text #19

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Data Index: 385463 (C4 (Web Text))

Max Activating Token Index: 509