Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1681 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0469. Min Act: -0.0005

Data Index: 85298 (C4 (Web Text))

Max Activating Token Index: 825

Text #1

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Max Act: 0.0455. Min Act: -0.0005

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Max Activating Token Index: 67

Text #2

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Max Act: 0.0362. Min Act: -0.0005

Data Index: 175719 (C4 (Web Text))

Max Activating Token Index: 731

Text #3

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Max Act: 0.0338. Min Act: -0.0005

Data Index: 476247 (C4 (Web Text))

Max Activating Token Index: 637

Text #4

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Data Index: 1289437 (C4 (Web Text))

Max Activating Token Index: 550

Text #5

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Data Index: 752310 (C4 (Web Text))

Max Activating Token Index: 395

Text #6

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Data Index: 936365 (C4 (Web Text))

Max Activating Token Index: 978

Text #7

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Max Activating Token Index: 747

Text #8

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Max Activating Token Index: 492

Text #9

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Max Activating Token Index: 116

Text #10

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Max Activating Token Index: 954

Text #11

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Max Activating Token Index: 942

Text #12

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Max Activating Token Index: 192

Text #13

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Max Activating Token Index: 565

Text #14

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Max Activating Token Index: 1019

Text #15

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Max Activating Token Index: 969

Text #16

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Max Activating Token Index: 838

Text #17

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Max Activating Token Index: 835

Text #18

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Max Activating Token Index: 761

Text #19

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Data Index: 405379 (C4 (Web Text))

Max Activating Token Index: 49