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

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

Neuron 1900 in Layer 1

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

Text #0

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Max Act: 0.0546. Min Act: -0.0003

Data Index: 972945 (C4 (Web Text))

Max Activating Token Index: 388

Text #1

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Max Act: 0.0543. Min Act: -0.0003

Data Index: 308328 (C4 (Web Text))

Max Activating Token Index: 560

Text #2

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Max Act: 0.0524. Min Act: -0.0002

Data Index: 1029539 (C4 (Web Text))

Max Activating Token Index: 903

Text #3

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Max Act: 0.0512. Min Act: -0.0003

Data Index: 1160655 (C4 (Web Text))

Max Activating Token Index: 811

Text #4

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Data Index: 837410 (C4 (Web Text))

Max Activating Token Index: 840

Text #5

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Data Index: 521024 (C4 (Web Text))

Max Activating Token Index: 951

Text #6

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Max Activating Token Index: 696

Text #7

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Max Activating Token Index: 880

Text #8

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Max Activating Token Index: 164

Text #9

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Max Activating Token Index: 390

Text #10

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Max Activating Token Index: 968

Text #11

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Max Activating Token Index: 927

Text #12

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Max Activating Token Index: 638

Text #13

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Max Activating Token Index: 764

Text #14

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Max Activating Token Index: 54

Text #15

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Text #16

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Max Activating Token Index: 167

Text #17

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Max Activating Token Index: 811

Text #18

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Max Activating Token Index: 883

Text #19

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Data Index: 414004 (C4 (Web Text))

Max Activating Token Index: 839