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

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

Neuron 2839 in Layer 1

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

Text #0

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Max Act: 0.0426. Min Act: -0.0003

Data Index: 1113618 (C4 (Web Text))

Max Activating Token Index: 149

Text #1

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Data Index: 1077387 (C4 (Web Text))

Max Activating Token Index: 684

Text #2

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Max Act: 0.0421. Min Act: -0.0002

Data Index: 917453 (C4 (Web Text))

Max Activating Token Index: 398

Text #3

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 420498 (C4 (Web Text))

Max Activating Token Index: 322

Text #4

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 421215 (C4 (Web Text))

Max Activating Token Index: 862

Text #5

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Max Act: 0.0402. Min Act: -0.0003

Data Index: 92224 (C4 (Web Text))

Max Activating Token Index: 887

Text #6

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Data Index: 899640 (C4 (Web Text))

Max Activating Token Index: 308

Text #7

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Max Activating Token Index: 195

Text #8

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Max Activating Token Index: 334

Text #9

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Max Activating Token Index: 111

Text #10

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Data Index: 588157 (C4 (Web Text))

Max Activating Token Index: 542

Text #11

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Data Index: 1213878 (C4 (Web Text))

Max Activating Token Index: 373

Text #12

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Data Index: 1002002 (C4 (Web Text))

Max Activating Token Index: 205

Text #13

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Max Activating Token Index: 901

Text #14

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Data Index: 1337425 (C4 (Web Text))

Max Activating Token Index: 668

Text #15

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Text #16

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Max Activating Token Index: 1012

Text #17

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Max Activating Token Index: 969

Text #18

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Max Activating Token Index: 117

Text #19

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Data Index: 888495 (C4 (Web Text))

Max Activating Token Index: 262