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

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

Neuron 1052 in Layer 1

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

Text #0

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 1017980 (C4 (Web Text))

Max Activating Token Index: 1011

Text #1

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Max Activating Token Index: 190

Text #2

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Data Index: 967881 (C4 (Web Text))

Max Activating Token Index: 960

Text #3

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Max Act: 0.0419. Min Act: -0.0002

Data Index: 941454 (C4 (Web Text))

Max Activating Token Index: 545

Text #4

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Data Index: 743883 (C4 (Web Text))

Max Activating Token Index: 496

Text #5

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Data Index: 1067990 (C4 (Web Text))

Max Activating Token Index: 31

Text #6

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Data Index: 33683 (C4 (Web Text))

Max Activating Token Index: 88

Text #7

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Max Activating Token Index: 296

Text #8

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Max Activating Token Index: 917

Text #9

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Max Activating Token Index: 327

Text #10

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Max Activating Token Index: 951

Text #11

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Max Activating Token Index: 916

Text #12

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Max Activating Token Index: 23

Text #13

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Max Activating Token Index: 460

Text #14

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Max Activating Token Index: 978

Text #15

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Text #16

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Max Activating Token Index: 444

Text #17

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Text #18

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Max Activating Token Index: 573

Text #19

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Data Index: 1338050 (C4 (Web Text))

Max Activating Token Index: 345