Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1248 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 704508 (C4 (Web Text))

Max Activating Token Index: 475

Text #1

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Data Index: 201736 (C4 (Web Text))

Max Activating Token Index: 996

Text #2

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Max Act: 0.0130. Min Act: -0.0006

Data Index: 426393 (C4 (Web Text))

Max Activating Token Index: 49

Text #3

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Max Act: 0.0120. Min Act: -0.0006

Data Index: 830006 (C4 (Web Text))

Max Activating Token Index: 836

Text #4

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 868257 (C4 (Web Text))

Max Activating Token Index: 856

Text #5

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Max Activating Token Index: 568

Text #6

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Text #8

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Text #9

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Max Activating Token Index: 5

Text #10

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Max Activating Token Index: 930

Text #12

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Max Activating Token Index: 982

Text #13

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Max Activating Token Index: 840

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: 427

Text #18

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Text #19

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Data Index: 778332 (C4 (Web Text))

Max Activating Token Index: 826