Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1766 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0850. Min Act: -0.0003

Data Index: 923721 (C4 (Web Text))

Max Activating Token Index: 40

Text #1

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Max Act: 0.0777. Min Act: -0.0003

Data Index: 501215 (C4 (Web Text))

Max Activating Token Index: 101

Text #2

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Max Act: 0.0770. Min Act: -0.0003

Data Index: 632988 (C4 (Web Text))

Max Activating Token Index: 26

Text #3

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Max Act: 0.0763. Min Act: -0.0003

Data Index: 740134 (C4 (Web Text))

Max Activating Token Index: 815

Text #4

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Max Act: 0.0697. Min Act: -0.0003

Data Index: 84478 (C4 (Web Text))

Max Activating Token Index: 230

Text #5

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Max Act: 0.0718. Min Act: -0.0003

Data Index: 490078 (C4 (Web Text))

Max Activating Token Index: 630

Text #6

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Data Index: 895133 (C4 (Web Text))

Max Activating Token Index: 101

Text #7

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Max Activating Token Index: 19

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Max Activating Token Index: 289

Text #9

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Data Index: 179138 (C4 (Web Text))

Max Activating Token Index: 90

Text #10

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Max Activating Token Index: 100

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Max Activating Token Index: 351

Text #12

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Max Activating Token Index: 58

Text #13

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Max Activating Token Index: 757

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 227

Text #17

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Max Activating Token Index: 487

Text #18

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Max Activating Token Index: 14

Text #19

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Data Index: 303913 (C4 (Web Text))

Max Activating Token Index: 787