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

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

Neuron 1472 in Layer 1

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

Text #0

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Max Act: 0.0568. Min Act: -0.0002

Data Index: 1219484 (C4 (Web Text))

Max Activating Token Index: 158

Text #1

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Data Index: 327115 (C4 (Web Text))

Max Activating Token Index: 907

Text #2

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 1281525 (C4 (Web Text))

Max Activating Token Index: 976

Text #3

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Max Act: 0.0446. Min Act: -0.0003

Data Index: 1072293 (C4 (Web Text))

Max Activating Token Index: 54

Text #4

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 687187 (C4 (Web Text))

Max Activating Token Index: 187

Text #5

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Data Index: 179290 (C4 (Web Text))

Max Activating Token Index: 935

Text #6

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Data Index: 1071938 (C4 (Web Text))

Max Activating Token Index: 633

Text #7

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Max Activating Token Index: 762

Text #8

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Max Activating Token Index: 383

Text #9

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Max Activating Token Index: 612

Text #10

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Data Index: 160207 (C4 (Web Text))

Max Activating Token Index: 131

Text #11

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Max Activating Token Index: 377

Text #12

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Max Activating Token Index: 100

Text #13

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Max Activating Token Index: 509

Text #14

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Max Activating Token Index: 954

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 969

Text #18

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Data Index: 602416 (C4 (Web Text))

Max Activating Token Index: 118

Text #19

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Data Index: 710556 (C4 (Web Text))

Max Activating Token Index: 616