Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 445 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0244. Min Act: -0.0006

Data Index: 907150 (C4 (Web Text))

Max Activating Token Index: 488

Text #1

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Max Act: 0.0225. Min Act: -0.0006

Data Index: 69395 (C4 (Web Text))

Max Activating Token Index: 26

Text #2

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Max Act: 0.0209. Min Act: -0.0006

Data Index: 695303 (C4 (Web Text))

Max Activating Token Index: 515

Text #3

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Max Act: 0.0208. Min Act: -0.0006

Data Index: 703667 (C4 (Web Text))

Max Activating Token Index: 94

Text #4

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Data Index: 965101 (C4 (Web Text))

Max Activating Token Index: 765

Text #5

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Data Index: 1128381 (C4 (Web Text))

Max Activating Token Index: 554

Text #6

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Data Index: 544916 (C4 (Web Text))

Max Activating Token Index: 458

Text #7

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Data Index: 22607 (C4 (Web Text))

Max Activating Token Index: 464

Text #8

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Data Index: 810972 (C4 (Web Text))

Max Activating Token Index: 169

Text #9

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Data Index: 530449 (C4 (Web Text))

Max Activating Token Index: 233

Text #10

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Max Activating Token Index: 453

Text #11

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Max Activating Token Index: 735

Text #12

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Data Index: 804833 (C4 (Web Text))

Max Activating Token Index: 218

Text #13

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Data Index: 831936 (C4 (Web Text))

Max Activating Token Index: 463

Text #14

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Data Index: 763530 (C4 (Web Text))

Max Activating Token Index: 281

Text #15

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Max Activating Token Index: 720

Text #16

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Max Activating Token Index: 146

Text #17

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Max Activating Token Index: 307

Text #18

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Data Index: 856019 (C4 (Web Text))

Max Activating Token Index: 521

Text #19

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Max Act: 0.0200. Min Act: -0.0006

Data Index: 39064 (C4 (Web Text))

Max Activating Token Index: 565