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

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

Neuron 204 in Layer 1

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

Text #0

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Max Act: 0.0250. Min Act: -0.0002

Data Index: 3790 (C4 (Web Text))

Max Activating Token Index: 193

Text #1

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 604466 (C4 (Web Text))

Max Activating Token Index: 924

Text #2

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Max Act: 0.0237. Min Act: -0.0002

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Max Activating Token Index: 697

Text #3

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Max Act: 0.0246. Min Act: -0.0002

Data Index: 669721 (C4 (Web Text))

Max Activating Token Index: 821

Text #4

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Data Index: 47649 (C4 (Web Text))

Max Activating Token Index: 49

Text #5

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 195763 (C4 (Web Text))

Max Activating Token Index: 960

Text #6

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Max Activating Token Index: 504

Text #7

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Text #8

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Max Activating Token Index: 24

Text #9

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Max Activating Token Index: 246

Text #10

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Max Activating Token Index: 719

Text #11

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Max Activating Token Index: 479

Text #12

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Max Activating Token Index: 572

Text #13

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Max Activating Token Index: 251

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1647636 (Python Code)

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Text #18

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Data Index: 1305204 (C4 (Web Text))

Max Activating Token Index: 943

Text #19

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Max Act: 0.0207. Min Act: -0.0003

Data Index: 1492667 (Python Code)

Max Activating Token Index: 747