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

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

Neuron 1525 in Layer 0

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

Text #0

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Max Act: 0.0109. Min Act: -0.0004

Data Index: 883100 (C4 (Web Text))

Max Activating Token Index: 625

Text #1

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Max Act: 0.0106. Min Act: -0.0004

Data Index: 334738 (C4 (Web Text))

Max Activating Token Index: 1008

Text #2

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Max Act: 0.0099. Min Act: -0.0004

Data Index: 742924 (C4 (Web Text))

Max Activating Token Index: 871

Text #3

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Max Act: 0.0098. Min Act: -0.0004

Data Index: 1182569 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 1212383 (C4 (Web Text))

Max Activating Token Index: 444

Text #5

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Max Act: 0.0093. Min Act: -0.0004

Data Index: 1256929 (C4 (Web Text))

Max Activating Token Index: 714

Text #6

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Max Act: 0.0090. Min Act: -0.0004

Data Index: 345362 (C4 (Web Text))

Max Activating Token Index: 18

Text #7

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Data Index: 1117095 (C4 (Web Text))

Max Activating Token Index: 733

Text #8

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Max Activating Token Index: 845

Text #9

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Max Activating Token Index: 721

Text #10

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Data Index: 883486 (C4 (Web Text))

Max Activating Token Index: 398

Text #11

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Data Index: 498730 (C4 (Web Text))

Max Activating Token Index: 571

Text #12

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Max Activating Token Index: 17

Text #13

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Data Index: 1296302 (C4 (Web Text))

Max Activating Token Index: 309

Text #14

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Data Index: 33755 (C4 (Web Text))

Max Activating Token Index: 744

Text #15

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Max Activating Token Index: 949

Text #16

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Max Activating Token Index: 467

Text #17

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Max Activating Token Index: 622

Text #18

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Max Activating Token Index: 673

Text #19

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Data Index: 1186702 (C4 (Web Text))

Max Activating Token Index: 71