Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1552 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0270. Min Act: -0.0005

Data Index: 1216455 (C4 (Web Text))

Max Activating Token Index: 385

Text #1

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Data Index: 806572 (C4 (Web Text))

Max Activating Token Index: 812

Text #2

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Max Act: 0.0267. Min Act: -0.0005

Data Index: 337364 (C4 (Web Text))

Max Activating Token Index: 139

Text #3

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Data Index: 11375 (C4 (Web Text))

Max Activating Token Index: 748

Text #4

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Data Index: 1037686 (C4 (Web Text))

Max Activating Token Index: 65

Text #5

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Max Activating Token Index: 1004

Text #6

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Max Activating Token Index: 113

Text #7

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Text #8

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Max Activating Token Index: 668

Text #9

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Data Index: 416955 (C4 (Web Text))

Max Activating Token Index: 865

Text #10

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Max Activating Token Index: 353

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Max Activating Token Index: 789

Text #12

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Max Activating Token Index: 769

Text #13

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Data Index: 806290 (C4 (Web Text))

Max Activating Token Index: 492

Text #14

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Data Index: 325841 (C4 (Web Text))

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Text #15

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Text #16

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Max Activating Token Index: 813

Text #17

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Max Activating Token Index: 630

Text #18

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Max Activating Token Index: 415

Text #19

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Data Index: 1193835 (C4 (Web Text))

Max Activating Token Index: 237