Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 782 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 337341 (C4 (Web Text))

Max Activating Token Index: 479

Text #1

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Max Act: 0.0193. Min Act: -0.0006

Data Index: 304615 (C4 (Web Text))

Max Activating Token Index: 265

Text #2

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 611618 (C4 (Web Text))

Max Activating Token Index: 921

Text #3

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Max Act: 0.0180. Min Act: -0.0006

Data Index: 1297190 (C4 (Web Text))

Max Activating Token Index: 661

Text #4

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Max Act: 0.0185. Min Act: -0.0006

Data Index: 730583 (C4 (Web Text))

Max Activating Token Index: 52

Text #5

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Data Index: 823362 (C4 (Web Text))

Max Activating Token Index: 10

Text #6

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Data Index: 379274 (C4 (Web Text))

Max Activating Token Index: 430

Text #7

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Max Activating Token Index: 761

Text #8

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Data Index: 140802 (C4 (Web Text))

Max Activating Token Index: 500

Text #9

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Max Activating Token Index: 817

Text #10

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Data Index: 1238194 (C4 (Web Text))

Max Activating Token Index: 141

Text #11

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Max Activating Token Index: 997

Text #12

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Data Index: 1250416 (C4 (Web Text))

Max Activating Token Index: 494

Text #13

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Data Index: 527293 (C4 (Web Text))

Max Activating Token Index: 236

Text #14

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Data Index: 392878 (C4 (Web Text))

Max Activating Token Index: 522

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 231

Text #18

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Max Activating Token Index: 868

Text #19

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Data Index: 996477 (C4 (Web Text))

Max Activating Token Index: 669