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

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

Neuron 1195 in Layer 1

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

Text #0

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Max Act: 0.0634. Min Act: -0.0003

Data Index: 249020 (C4 (Web Text))

Max Activating Token Index: 807

Text #1

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Max Activating Token Index: 953

Text #2

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Max Act: 0.0613. Min Act: -0.0002

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Max Activating Token Index: 997

Text #3

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Data Index: 323030 (C4 (Web Text))

Max Activating Token Index: 672

Text #4

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Data Index: 222658 (C4 (Web Text))

Max Activating Token Index: 570

Text #5

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Max Activating Token Index: 256

Text #6

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Max Activating Token Index: 397

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 725

Text #10

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Max Activating Token Index: 484

Text #11

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Max Activating Token Index: 89

Text #12

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Max Activating Token Index: 289

Text #13

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Max Activating Token Index: 901

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 828

Text #18

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Text #19

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Data Index: 1241060 (C4 (Web Text))

Max Activating Token Index: 158