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

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

Neuron 1965 in Layer 0

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

Text #0

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Max Act: 0.0152. Min Act: -0.0006

Data Index: 245569 (C4 (Web Text))

Max Activating Token Index: 1019

Text #1

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Max Activating Token Index: 488

Text #2

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Max Act: 0.0138. Min Act: -0.0006

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Max Activating Token Index: 553

Text #3

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Max Act: 0.0133. Min Act: -0.0006

Data Index: 123670 (C4 (Web Text))

Max Activating Token Index: 758

Text #4

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Data Index: 610272 (C4 (Web Text))

Max Activating Token Index: 864

Text #5

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Data Index: 853654 (C4 (Web Text))

Max Activating Token Index: 879

Text #6

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Max Activating Token Index: 797

Text #7

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Max Activating Token Index: 517

Text #8

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Max Activating Token Index: 569

Text #9

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Text #10

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Max Activating Token Index: 750

Text #11

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Data Index: 771987 (C4 (Web Text))

Max Activating Token Index: 674

Text #12

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Max Activating Token Index: 316

Text #13

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Max Activating Token Index: 976

Text #14

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Max Activating Token Index: 664

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 454

Text #18

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Max Activating Token Index: 679

Text #19

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Data Index: 1635535 (Python Code)

Max Activating Token Index: 856