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

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

Neuron 84 in Layer 1

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

Text #0

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Max Act: 0.1208. Min Act: -0.0003

Data Index: 988757 (C4 (Web Text))

Max Activating Token Index: 387

Text #1

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Max Act: 0.1129. Min Act: -0.0003

Data Index: 855076 (C4 (Web Text))

Max Activating Token Index: 713

Text #2

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Max Act: 0.1164. Min Act: -0.0003

Data Index: 555903 (C4 (Web Text))

Max Activating Token Index: 209

Text #3

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Max Act: 0.1074. Min Act: -0.0003

Data Index: 1259551 (C4 (Web Text))

Max Activating Token Index: 801

Text #4

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Max Act: 0.1101. Min Act: -0.0003

Data Index: 226358 (C4 (Web Text))

Max Activating Token Index: 688

Text #5

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Data Index: 1164781 (C4 (Web Text))

Max Activating Token Index: 730

Text #6

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Data Index: 1065603 (C4 (Web Text))

Max Activating Token Index: 324

Text #7

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Max Activating Token Index: 780

Text #8

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Data Index: 871333 (C4 (Web Text))

Max Activating Token Index: 419

Text #9

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Max Activating Token Index: 627

Text #10

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Max Activating Token Index: 846

Text #11

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Max Activating Token Index: 951

Text #12

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Max Activating Token Index: 1000

Text #13

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Data Index: 590872 (C4 (Web Text))

Max Activating Token Index: 601

Text #14

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Max Activating Token Index: 977

Text #15

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Max Activating Token Index: 357

Text #16

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Max Activating Token Index: 294

Text #17

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Max Activating Token Index: 372

Text #18

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Data Index: 659229 (C4 (Web Text))

Max Activating Token Index: 550

Text #19

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Data Index: 1253571 (C4 (Web Text))

Max Activating Token Index: 823