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

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

Neuron 594 in Layer 1

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

Text #0

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 181976 (C4 (Web Text))

Max Activating Token Index: 432

Text #1

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Data Index: 911754 (C4 (Web Text))

Max Activating Token Index: 1007

Text #2

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Data Index: 531643 (C4 (Web Text))

Max Activating Token Index: 860

Text #3

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 1073848 (C4 (Web Text))

Max Activating Token Index: 29

Text #4

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Data Index: 70090 (C4 (Web Text))

Max Activating Token Index: 513

Text #5

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Max Activating Token Index: 597

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: 642

Text #12

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Max Activating Token Index: 601

Text #13

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Max Activating Token Index: 27

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: 890

Text #19

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Data Index: 657354 (C4 (Web Text))

Max Activating Token Index: 556