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

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

Neuron 287 in Layer 2

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

Text #0

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1391867 (Python Code)

Max Activating Token Index: 67

Text #1

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 1504280 (Python Code)

Max Activating Token Index: 68

Text #2

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Max Act: 0.0150. Min Act: -0.0002

Data Index: 1105988 (C4 (Web Text))

Max Activating Token Index: 122

Text #3

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Max Act: 0.0158. Min Act: -0.0002

Data Index: 1647089 (Python Code)

Max Activating Token Index: 674

Text #4

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Max Act: 0.0122. Min Act: -0.0002

Data Index: 1556012 (Python Code)

Max Activating Token Index: 310

Text #5

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 1009294 (C4 (Web Text))

Max Activating Token Index: 927

Text #6

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Data Index: 698483 (C4 (Web Text))

Max Activating Token Index: 252

Text #7

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Max Activating Token Index: 958

Text #8

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Data Index: 263842 (C4 (Web Text))

Max Activating Token Index: 132

Text #9

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Data Index: 1575383 (Python Code)

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Text #10

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Data Index: 132493 (C4 (Web Text))

Max Activating Token Index: 116

Text #11

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Data Index: 1419321 (Python Code)

Max Activating Token Index: 655

Text #12

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Data Index: 1374343 (Python Code)

Max Activating Token Index: 306

Text #13

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Data Index: 502247 (C4 (Web Text))

Max Activating Token Index: 31

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1076555 (C4 (Web Text))

Max Activating Token Index: 753

Text #18

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Data Index: 279889 (C4 (Web Text))

Max Activating Token Index: 983

Text #19

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 14337 (C4 (Web Text))

Max Activating Token Index: 607