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

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

Neuron 1995 in Layer 0

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

Text #0

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Max Act: 0.0394. Min Act: -0.0004

Data Index: 1058251 (C4 (Web Text))

Max Activating Token Index: 737

Text #1

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Data Index: 244408 (C4 (Web Text))

Max Activating Token Index: 543

Text #2

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Data Index: 523356 (C4 (Web Text))

Max Activating Token Index: 593

Text #3

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Max Act: 0.0374. Min Act: -0.0004

Data Index: 512955 (C4 (Web Text))

Max Activating Token Index: 494

Text #4

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Data Index: 161475 (C4 (Web Text))

Max Activating Token Index: 80

Text #5

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Max Activating Token Index: 456

Text #6

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Max Activating Token Index: 528

Text #7

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Max Activating Token Index: 940

Text #8

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Max Activating Token Index: 873

Text #9

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Max Activating Token Index: 75

Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 871

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: 537456 (C4 (Web Text))

Max Activating Token Index: 923