Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1072 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0428. Min Act: -0.0003

Data Index: 866544 (C4 (Web Text))

Max Activating Token Index: 537

Text #1

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 373184 (C4 (Web Text))

Max Activating Token Index: 809

Text #2

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Max Act: 0.0409. Min Act: -0.0003

Data Index: 98355 (C4 (Web Text))

Max Activating Token Index: 691

Text #3

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Max Act: 0.0411. Min Act: -0.0003

Data Index: 123383 (C4 (Web Text))

Max Activating Token Index: 109

Text #4

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Max Activating Token Index: 870

Text #5

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Max Activating Token Index: 630

Text #6

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Data Index: 42443 (C4 (Web Text))

Max Activating Token Index: 649

Text #7

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Max Activating Token Index: 217

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Max Activating Token Index: 409

Text #9

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Max Activating Token Index: 781

Text #10

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Data Index: 288277 (C4 (Web Text))

Max Activating Token Index: 690

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Max Activating Token Index: 589

Text #12

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Max Activating Token Index: 634

Text #13

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Max Activating Token Index: 809

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 153

Text #18

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Max Activating Token Index: 750

Text #19

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Data Index: 1238643 (C4 (Web Text))

Max Activating Token Index: 733