Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1394 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0656. Min Act: -0.0004

Data Index: 1075826 (C4 (Web Text))

Max Activating Token Index: 837

Text #1

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Data Index: 75165 (C4 (Web Text))

Max Activating Token Index: 508

Text #2

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Max Act: 0.0641. Min Act: -0.0003

Data Index: 1352204 (C4 (Web Text))

Max Activating Token Index: 388

Text #3

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Max Act: 0.0627. Min Act: -0.0003

Data Index: 522998 (C4 (Web Text))

Max Activating Token Index: 836

Text #4

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Max Act: 0.0581. Min Act: -0.0004

Data Index: 537806 (C4 (Web Text))

Max Activating Token Index: 512

Text #5

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Data Index: 1325966 (C4 (Web Text))

Max Activating Token Index: 647

Text #6

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Max Activating Token Index: 227

Text #7

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Data Index: 271845 (C4 (Web Text))

Max Activating Token Index: 366

Text #8

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Data Index: 590777 (C4 (Web Text))

Max Activating Token Index: 566

Text #9

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Data Index: 145592 (C4 (Web Text))

Max Activating Token Index: 165

Text #10

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Data Index: 389891 (C4 (Web Text))

Max Activating Token Index: 537

Text #11

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Max Activating Token Index: 248

Text #12

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Data Index: 54503 (C4 (Web Text))

Max Activating Token Index: 1000

Text #13

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Data Index: 471923 (C4 (Web Text))

Max Activating Token Index: 402

Text #14

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Data Index: 996858 (C4 (Web Text))

Max Activating Token Index: 262

Text #15

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Max Activating Token Index: 835

Text #16

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Max Activating Token Index: 135

Text #17

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Data Index: 680279 (C4 (Web Text))

Max Activating Token Index: 551

Text #18

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Max Activating Token Index: 661

Text #19

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Data Index: 141282 (C4 (Web Text))

Max Activating Token Index: 497