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

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

Neuron 2259 in Layer 0

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

Text #0

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Max Act: 0.0283. Min Act: -0.0002

Data Index: 1242675 (C4 (Web Text))

Max Activating Token Index: 1017

Text #1

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Data Index: 825465 (C4 (Web Text))

Max Activating Token Index: 959

Text #2

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Data Index: 910947 (C4 (Web Text))

Max Activating Token Index: 943

Text #3

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 75191 (C4 (Web Text))

Max Activating Token Index: 1016

Text #4

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Max Act: 0.0278. Min Act: -0.0002

Data Index: 795359 (C4 (Web Text))

Max Activating Token Index: 923

Text #5

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Data Index: 1441715 (Python Code)

Max Activating Token Index: 467

Text #6

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Data Index: 1111003 (C4 (Web Text))

Max Activating Token Index: 1002

Text #7

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Max Activating Token Index: 1003

Text #8

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Max Activating Token Index: 998

Text #9

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Max Activating Token Index: 959

Text #10

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Data Index: 672562 (C4 (Web Text))

Max Activating Token Index: 960

Text #11

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Data Index: 962404 (C4 (Web Text))

Max Activating Token Index: 1010

Text #12

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Data Index: 150381 (C4 (Web Text))

Max Activating Token Index: 983

Text #13

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Data Index: 645869 (C4 (Web Text))

Max Activating Token Index: 464

Text #14

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Max Activating Token Index: 206

Text #15

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Max Activating Token Index: 991

Text #16

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Max Activating Token Index: 286

Text #17

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Data Index: 175470 (C4 (Web Text))

Max Activating Token Index: 1021

Text #18

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Data Index: 495867 (C4 (Web Text))

Max Activating Token Index: 986

Text #19

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 1102038 (C4 (Web Text))

Max Activating Token Index: 1019