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

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

Neuron 358 in Layer 1

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

Text #0

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Data Index: 375680 (C4 (Web Text))

Max Activating Token Index: 453

Text #1

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Max Activating Token Index: 689

Text #2

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Max Activating Token Index: 983

Text #3

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Max Act: 0.0539. Min Act: -0.0002

Data Index: 496802 (C4 (Web Text))

Max Activating Token Index: 834

Text #4

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Data Index: 421996 (C4 (Web Text))

Max Activating Token Index: 920

Text #5

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Max Activating Token Index: 506

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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Max Activating Token Index: 742

Text #11

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Max Activating Token Index: 960

Text #12

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Max Activating Token Index: 408

Text #13

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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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Max Activating Token Index: 684

Text #19

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Data Index: 776886 (C4 (Web Text))

Max Activating Token Index: 830