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

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

Neuron 4323 in Layer 4

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

Text #0

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Max Act: 0.1208. Min Act: -0.0001

Data Index: 440275 (C4 (Web Text))

Max Activating Token Index: 885

Text #1

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Max Act: 0.0789. Min Act: -0.0001

Data Index: 1230357 (C4 (Web Text))

Max Activating Token Index: 343

Text #2

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Max Act: 0.0946. Min Act: -0.0000

Data Index: 556442 (C4 (Web Text))

Max Activating Token Index: 316

Text #3

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Data Index: 1254103 (C4 (Web Text))

Max Activating Token Index: 835

Text #4

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Data Index: 1024315 (C4 (Web Text))

Max Activating Token Index: 643

Text #5

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Data Index: 299609 (C4 (Web Text))

Max Activating Token Index: 783

Text #6

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Data Index: 1357341 (C4 (Web Text))

Max Activating Token Index: 327

Text #7

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Max Activating Token Index: 885

Text #8

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Max Activating Token Index: 1005

Text #9

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Data Index: 602645 (C4 (Web Text))

Max Activating Token Index: 867

Text #10

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Data Index: 265976 (C4 (Web Text))

Max Activating Token Index: 623

Text #11

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Max Activating Token Index: 275

Text #12

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Max Activating Token Index: 956

Text #13

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Data Index: 880252 (C4 (Web Text))

Max Activating Token Index: 509

Text #14

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Data Index: 102101 (C4 (Web Text))

Max Activating Token Index: 169

Text #15

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Max Activating Token Index: 370

Text #16

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Max Activating Token Index: 64

Text #17

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Max Activating Token Index: 770

Text #18

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Data Index: 418214 (C4 (Web Text))

Max Activating Token Index: 475

Text #19

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Data Index: 345651 (C4 (Web Text))

Max Activating Token Index: 678