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

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

Neuron 1735 in Layer 0

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

Text #0

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Max Act: 0.0544. Min Act: -0.0004

Data Index: 718366 (C4 (Web Text))

Max Activating Token Index: 859

Text #1

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Max Activating Token Index: 99

Text #2

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Max Activating Token Index: 844

Text #3

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Max Activating Token Index: 763

Text #4

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Data Index: 557349 (C4 (Web Text))

Max Activating Token Index: 89

Text #5

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Max Activating Token Index: 611

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 657

Text #12

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Max Activating Token Index: 173

Text #13

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Max Activating Token Index: 765

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 119475 (C4 (Web Text))

Max Activating Token Index: 947