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

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

Neuron 392 in Layer 0

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

Text #0

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Max Act: 0.0137. Min Act: -0.0005

Data Index: 219629 (C4 (Web Text))

Max Activating Token Index: 678

Text #1

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Max Activating Token Index: 810

Text #2

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Max Act: 0.0120. Min Act: -0.0004

Data Index: 134445 (C4 (Web Text))

Max Activating Token Index: 149

Text #3

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 104988 (C4 (Web Text))

Max Activating Token Index: 929

Text #4

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Data Index: 411109 (C4 (Web Text))

Max Activating Token Index: 949

Text #5

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Data Index: 275362 (C4 (Web Text))

Max Activating Token Index: 781

Text #6

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Max Activating Token Index: 626

Text #7

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Max Activating Token Index: 569

Text #8

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Max Activating Token Index: 978

Text #9

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Max Activating Token Index: 37

Text #10

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Max Activating Token Index: 42

Text #11

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Max Activating Token Index: 552

Text #12

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Max Activating Token Index: 931

Text #13

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Max Activating Token Index: 411

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 183

Text #17

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Max Activating Token Index: 298

Text #18

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Max Activating Token Index: 602

Text #19

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Data Index: 1199110 (C4 (Web Text))

Max Activating Token Index: 194