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

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

Neuron 1780 in Layer 1

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

Text #0

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Max Act: 0.0802. Min Act: -0.0003

Data Index: 901516 (C4 (Web Text))

Max Activating Token Index: 77

Text #1

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Max Act: 0.0684. Min Act: -0.0003

Data Index: 513648 (C4 (Web Text))

Max Activating Token Index: 73

Text #2

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Max Act: 0.0648. Min Act: -0.0003

Data Index: 689767 (C4 (Web Text))

Max Activating Token Index: 129

Text #3

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Max Act: 0.0670. Min Act: -0.0003

Data Index: 873575 (C4 (Web Text))

Max Activating Token Index: 54

Text #4

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Max Act: 0.0665. Min Act: -0.0003

Data Index: 1326412 (C4 (Web Text))

Max Activating Token Index: 68

Text #5

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Data Index: 488464 (C4 (Web Text))

Max Activating Token Index: 86

Text #6

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Max Activating Token Index: 496

Text #7

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Max Activating Token Index: 739

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Max Activating Token Index: 962

Text #9

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Max Activating Token Index: 187

Text #10

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Max Activating Token Index: 940

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Data Index: 151719 (C4 (Web Text))

Max Activating Token Index: 64

Text #12

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Max Activating Token Index: 84

Text #13

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Data Index: 310104 (C4 (Web Text))

Max Activating Token Index: 132

Text #14

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Max Activating Token Index: 101

Text #15

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Text #16

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Max Activating Token Index: 152

Text #17

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Max Activating Token Index: 53

Text #18

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Data Index: 559690 (C4 (Web Text))

Max Activating Token Index: 84

Text #19

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Data Index: 1014528 (C4 (Web Text))

Max Activating Token Index: 40