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

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

Neuron 2735 in Layer 9

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

Text #0

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Max Act: 1.1842. Min Act: -0.0000

Data Index: 455604 (C4 (Web Text))

Max Activating Token Index: 894

Text #1

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Data Index: 1298266 (C4 (Web Text))

Max Activating Token Index: 669

Text #2

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Data Index: 870845 (C4 (Web Text))

Max Activating Token Index: 759

Text #3

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Max Act: 1.1764. Min Act: -0.0000

Data Index: 1478517 (Python Code)

Max Activating Token Index: 259

Text #4

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Max Act: 1.0856. Min Act: -0.0000

Data Index: 429782 (C4 (Web Text))

Max Activating Token Index: 983

Text #5

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Data Index: 951095 (C4 (Web Text))

Max Activating Token Index: 424

Text #6

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Max Activating Token Index: 327

Text #7

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Max Activating Token Index: 282

Text #8

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Max Activating Token Index: 731

Text #9

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Data Index: 601346 (C4 (Web Text))

Max Activating Token Index: 773

Text #10

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Data Index: 905965 (C4 (Web Text))

Max Activating Token Index: 859

Text #11

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Data Index: 353529 (C4 (Web Text))

Max Activating Token Index: 246

Text #12

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Data Index: 422280 (C4 (Web Text))

Max Activating Token Index: 1004

Text #13

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Data Index: 342152 (C4 (Web Text))

Max Activating Token Index: 847

Text #14

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Data Index: 258510 (C4 (Web Text))

Max Activating Token Index: 283

Text #15

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Max Activating Token Index: 720

Text #16

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Max Activating Token Index: 994

Text #17

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Max Activating Token Index: 431

Text #18

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Data Index: 953585 (C4 (Web Text))

Max Activating Token Index: 825

Text #19

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Max Act: 0.9043. Min Act: -0.0000

Data Index: 23061 (C4 (Web Text))

Max Activating Token Index: 546