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

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

Neuron 2582 in Layer 0

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

Text #0

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 118150 (C4 (Web Text))

Max Activating Token Index: 330

Text #1

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Max Act: 0.0350. Min Act: -0.0002

Data Index: 953165 (C4 (Web Text))

Max Activating Token Index: 790

Text #2

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Max Act: 0.0338. Min Act: -0.0002

Data Index: 1129455 (C4 (Web Text))

Max Activating Token Index: 695

Text #3

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Max Act: 0.0325. Min Act: -0.0002

Data Index: 263191 (C4 (Web Text))

Max Activating Token Index: 702

Text #4

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Max Act: 0.0320. Min Act: -0.0002

Data Index: 103168 (C4 (Web Text))

Max Activating Token Index: 117

Text #5

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Max Activating Token Index: 871

Text #6

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Max Activating Token Index: 175

Text #7

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Max Activating Token Index: 129

Text #8

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Data Index: 90689 (C4 (Web Text))

Max Activating Token Index: 183

Text #9

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Max Activating Token Index: 722

Text #10

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Max Activating Token Index: 78

Text #11

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Data Index: 373555 (C4 (Web Text))

Max Activating Token Index: 904

Text #12

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Data Index: 304213 (C4 (Web Text))

Max Activating Token Index: 641

Text #13

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Data Index: 1015028 (C4 (Web Text))

Max Activating Token Index: 165

Text #14

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Data Index: 345829 (C4 (Web Text))

Max Activating Token Index: 961

Text #15

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Max Activating Token Index: 732

Text #16

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Max Activating Token Index: 985

Text #17

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Max Activating Token Index: 70

Text #18

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Data Index: 1028010 (C4 (Web Text))

Max Activating Token Index: 155

Text #19

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Data Index: 1168276 (C4 (Web Text))

Max Activating Token Index: 33