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

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

Neuron 944 in Layer 1

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

Text #0

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Max Act: 0.0485. Min Act: -0.0003

Data Index: 1350368 (C4 (Web Text))

Max Activating Token Index: 11

Text #1

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Data Index: 379162 (C4 (Web Text))

Max Activating Token Index: 197

Text #2

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Data Index: 683657 (C4 (Web Text))

Max Activating Token Index: 101

Text #3

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Max Act: 0.0399. Min Act: -0.0003

Data Index: 270829 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Data Index: 695590 (C4 (Web Text))

Max Activating Token Index: 380

Text #5

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Max Activating Token Index: 59

Text #6

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Max Activating Token Index: 235

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Max Activating Token Index: 335

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Max Activating Token Index: 91

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Text #10

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Text #12

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Max Activating Token Index: 383

Text #13

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Max Activating Token Index: 817

Text #14

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Max Activating Token Index: 831

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 289

Text #19

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Data Index: 1347392 (C4 (Web Text))

Max Activating Token Index: 226