Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 130 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 1193376 (C4 (Web Text))

Max Activating Token Index: 612

Text #1

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Max Act: 0.0087. Min Act: -0.0006

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Max Activating Token Index: 241

Text #2

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Max Act: 0.0086. Min Act: -0.0005

Data Index: 1495358 (Python Code)

Max Activating Token Index: 730

Text #3

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Max Act: 0.0083. Min Act: -0.0006

Data Index: 532417 (C4 (Web Text))

Max Activating Token Index: 660

Text #4

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Max Act: 0.0082. Min Act: -0.0006

Data Index: 849885 (C4 (Web Text))

Max Activating Token Index: 448

Text #5

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Max Act: 0.0082. Min Act: -0.0006

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Max Activating Token Index: 364

Text #6

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Max Activating Token Index: 985

Text #7

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Max Activating Token Index: 289

Text #8

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Max Activating Token Index: 200

Text #9

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Max Activating Token Index: 97

Text #10

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Max Act: 0.0078. Min Act: -0.0006

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Max Activating Token Index: 219

Text #11

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Max Activating Token Index: 651

Text #12

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Max Activating Token Index: 318

Text #13

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Data Index: 806977 (C4 (Web Text))

Max Activating Token Index: 490

Text #14

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Max Activating Token Index: 718

Text #15

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Text #16

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Max Activating Token Index: 1023

Text #17

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Max Activating Token Index: 783

Text #18

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Max Activating Token Index: 588

Text #19

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Max Act: 0.0075. Min Act: -0.0005

Data Index: 774695 (C4 (Web Text))

Max Activating Token Index: 448