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

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

Neuron 1903 in Layer 0

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

Text #0

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Max Act: 0.0153. Min Act: -0.0005

Data Index: 1358446 (C4 (Web Text))

Max Activating Token Index: 343

Text #1

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Max Act: 0.0154. Min Act: -0.0006

Data Index: 256572 (C4 (Web Text))

Max Activating Token Index: 594

Text #2

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Max Act: 0.0155. Min Act: -0.0005

Data Index: 453189 (C4 (Web Text))

Max Activating Token Index: 151

Text #3

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Max Act: 0.0149. Min Act: -0.0005

Data Index: 1232658 (C4 (Web Text))

Max Activating Token Index: 24

Text #4

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Max Act: 0.0147. Min Act: -0.0005

Data Index: 786305 (C4 (Web Text))

Max Activating Token Index: 528

Text #5

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Max Act: 0.0148. Min Act: -0.0006

Data Index: 50469 (C4 (Web Text))

Max Activating Token Index: 670

Text #6

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Max Activating Token Index: 671

Text #7

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Data Index: 357101 (C4 (Web Text))

Max Activating Token Index: 752

Text #8

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Data Index: 100922 (C4 (Web Text))

Max Activating Token Index: 627

Text #9

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Max Activating Token Index: 653

Text #10

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Data Index: 535790 (C4 (Web Text))

Max Activating Token Index: 680

Text #11

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Max Activating Token Index: 18

Text #12

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Max Activating Token Index: 378

Text #13

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Max Activating Token Index: 727

Text #14

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Data Index: 806107 (C4 (Web Text))

Max Activating Token Index: 580

Text #15

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Data Index: 389348 (C4 (Web Text))

Max Activating Token Index: 52

Text #16

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Max Activating Token Index: 900

Text #17

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Max Activating Token Index: 41

Text #18

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Max Activating Token Index: 622

Text #19

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 667385 (C4 (Web Text))

Max Activating Token Index: 68