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

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

Neuron 1536 in Layer 1

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

Text #0

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 820598 (C4 (Web Text))

Max Activating Token Index: 733

Text #1

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Max Act: 0.0414. Min Act: -0.0002

Data Index: 1095467 (C4 (Web Text))

Max Activating Token Index: 26

Text #2

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 148906 (C4 (Web Text))

Max Activating Token Index: 249

Text #3

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Max Act: 0.0338. Min Act: -0.0002

Data Index: 841750 (C4 (Web Text))

Max Activating Token Index: 173

Text #4

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 684689 (C4 (Web Text))

Max Activating Token Index: 710

Text #5

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Data Index: 551013 (C4 (Web Text))

Max Activating Token Index: 785

Text #6

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Max Activating Token Index: 290

Text #7

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Text #8

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Max Activating Token Index: 889

Text #9

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Max Activating Token Index: 807

Text #10

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Max Activating Token Index: 139

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Max Activating Token Index: 986

Text #12

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Max Activating Token Index: 132

Text #13

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Max Activating Token Index: 111

Text #14

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Max Activating Token Index: 296

Text #15

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Max Activating Token Index: 34

Text #16

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Text #17

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Max Activating Token Index: 32

Text #18

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Max Activating Token Index: 101

Text #19

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Data Index: 856634 (C4 (Web Text))

Max Activating Token Index: 134