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

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

Neuron 1492 in Layer 0

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

Text #0

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Max Act: 0.0424. Min Act: -0.0004

Data Index: 459994 (C4 (Web Text))

Max Activating Token Index: 953

Text #1

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Data Index: 268134 (C4 (Web Text))

Max Activating Token Index: 940

Text #2

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Data Index: 748063 (C4 (Web Text))

Max Activating Token Index: 935

Text #3

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Max Act: 0.0388. Min Act: -0.0005

Data Index: 390999 (C4 (Web Text))

Max Activating Token Index: 362

Text #4

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Data Index: 1077127 (C4 (Web Text))

Max Activating Token Index: 956

Text #5

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Max Activating Token Index: 444

Text #6

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Data Index: 296379 (C4 (Web Text))

Max Activating Token Index: 903

Text #7

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Max Activating Token Index: 951

Text #8

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Max Activating Token Index: 769

Text #9

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Max Activating Token Index: 815

Text #10

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Max Activating Token Index: 710

Text #11

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Max Activating Token Index: 21

Text #12

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Max Activating Token Index: 920

Text #13

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Max Activating Token Index: 180

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 363

Text #17

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Max Activating Token Index: 304

Text #18

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Max Activating Token Index: 765

Text #19

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Data Index: 134705 (C4 (Web Text))

Max Activating Token Index: 588