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

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

Neuron 90 in Layer 2

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

Text #0

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Max Act: 0.0133. Min Act: -0.0005

Data Index: 872111 (C4 (Web Text))

Max Activating Token Index: 1020

Text #1

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Max Act: 0.0131. Min Act: -0.0005

Data Index: 889746 (C4 (Web Text))

Max Activating Token Index: 1019

Text #2

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Max Act: 0.0128. Min Act: -0.0004

Data Index: 894383 (C4 (Web Text))

Max Activating Token Index: 956

Text #3

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 682078 (C4 (Web Text))

Max Activating Token Index: 946

Text #4

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Data Index: 840341 (C4 (Web Text))

Max Activating Token Index: 917

Text #5

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Data Index: 1567049 (Python Code)

Max Activating Token Index: 898

Text #6

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Data Index: 1525254 (Python Code)

Max Activating Token Index: 449

Text #7

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Data Index: 85712 (C4 (Web Text))

Max Activating Token Index: 567

Text #8

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Data Index: 780909 (C4 (Web Text))

Max Activating Token Index: 964

Text #9

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Data Index: 889697 (C4 (Web Text))

Max Activating Token Index: 745

Text #10

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Data Index: 1582961 (Python Code)

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Text #11

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Data Index: 292538 (C4 (Web Text))

Max Activating Token Index: 987

Text #12

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Data Index: 1444707 (Python Code)

Max Activating Token Index: 681

Text #13

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Data Index: 1278123 (C4 (Web Text))

Max Activating Token Index: 670

Text #14

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Data Index: 1392220 (Python Code)

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Text #15

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Data Index: 1527816 (Python Code)

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Text #16

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Text #17

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Data Index: 1200573 (C4 (Web Text))

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Text #18

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Data Index: 1370780 (Python Code)

Max Activating Token Index: 335

Text #19

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Max Act: 0.0111. Min Act: -0.0005

Data Index: 556682 (C4 (Web Text))

Max Activating Token Index: 118