Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4106 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1331752 (C4 (Web Text))

Max Activating Token Index: 89

Text #1

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 224573 (C4 (Web Text))

Max Activating Token Index: 16

Text #2

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 1308544 (C4 (Web Text))

Max Activating Token Index: 410

Text #3

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 531026 (C4 (Web Text))

Max Activating Token Index: 59

Text #4

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Data Index: 1180957 (C4 (Web Text))

Max Activating Token Index: 47

Text #5

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Max Activating Token Index: 633

Text #6

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Max Activating Token Index: 198

Text #7

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Max Activating Token Index: 43

Text #8

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Max Activating Token Index: 353

Text #9

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Max Activating Token Index: 944

Text #10

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Max Activating Token Index: 228

Text #11

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Max Activating Token Index: 414

Text #12

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Data Index: 447957 (C4 (Web Text))

Max Activating Token Index: 863

Text #13

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Data Index: 617249 (C4 (Web Text))

Max Activating Token Index: 921

Text #14

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Max Activating Token Index: 963

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 464

Text #18

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Data Index: 237807 (C4 (Web Text))

Max Activating Token Index: 52

Text #19

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Max Act: 0.0122. Min Act: -0.0002

Data Index: 99008 (C4 (Web Text))

Max Activating Token Index: 84