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

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

Neuron 313 in Layer 9

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

Text #0

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Data Index: 1138223 (C4 (Web Text))

Max Activating Token Index: 290

Text #1

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Data Index: 1324360 (C4 (Web Text))

Max Activating Token Index: 581

Text #2

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Data Index: 186187 (C4 (Web Text))

Max Activating Token Index: 555

Text #3

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Max Act: 0.9590. Min Act: -0.0000

Data Index: 239165 (C4 (Web Text))

Max Activating Token Index: 360

Text #4

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Data Index: 791779 (C4 (Web Text))

Max Activating Token Index: 929

Text #5

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Data Index: 792163 (C4 (Web Text))

Max Activating Token Index: 133

Text #6

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Data Index: 454505 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 194165 (C4 (Web Text))

Max Activating Token Index: 575

Text #9

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Data Index: 1331499 (C4 (Web Text))

Max Activating Token Index: 412

Text #10

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Max Activating Token Index: 924

Text #11

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Max Activating Token Index: 746

Text #12

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Max Activating Token Index: 697

Text #13

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Data Index: 840505 (C4 (Web Text))

Max Activating Token Index: 846

Text #14

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Data Index: 651712 (C4 (Web Text))

Max Activating Token Index: 266

Text #15

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Text #16

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Max Activating Token Index: 179

Text #17

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Max Activating Token Index: 568

Text #18

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Data Index: 842037 (C4 (Web Text))

Max Activating Token Index: 500

Text #19

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Max Act: 0.6570. Min Act: -0.0000

Data Index: 1407627 (Python Code)

Max Activating Token Index: 361