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

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

Neuron 1542 in Layer 0

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

Text #0

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Max Act: 0.0080. Min Act: -0.0006

Data Index: 902440 (C4 (Web Text))

Max Activating Token Index: 793

Text #1

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Data Index: 1139237 (C4 (Web Text))

Max Activating Token Index: 905

Text #2

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Data Index: 329758 (C4 (Web Text))

Max Activating Token Index: 643

Text #3

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Max Act: 0.0073. Min Act: -0.0006

Data Index: 75674 (C4 (Web Text))

Max Activating Token Index: 389

Text #4

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 1031562 (C4 (Web Text))

Max Activating Token Index: 650

Text #5

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Max Act: 0.0074. Min Act: -0.0006

Data Index: 60835 (C4 (Web Text))

Max Activating Token Index: 916

Text #6

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Data Index: 467645 (C4 (Web Text))

Max Activating Token Index: 584

Text #7

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Text #8

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Max Activating Token Index: 963

Text #9

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Max Activating Token Index: 612

Text #10

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Data Index: 1174481 (C4 (Web Text))

Max Activating Token Index: 94

Text #11

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Max Activating Token Index: 196

Text #12

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Max Activating Token Index: 388

Text #13

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Data Index: 64972 (C4 (Web Text))

Max Activating Token Index: 605

Text #14

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Data Index: 487299 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 413015 (C4 (Web Text))

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Text #18

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Text #19

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Data Index: 1132150 (C4 (Web Text))

Max Activating Token Index: 963