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

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

Neuron 3802 in Layer 0

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

Text #0

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 195148 (C4 (Web Text))

Max Activating Token Index: 993

Text #1

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Max Act: 0.0116. Min Act: -0.0002

Data Index: 1304489 (C4 (Web Text))

Max Activating Token Index: 959

Text #2

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 233842 (C4 (Web Text))

Max Activating Token Index: 707

Text #3

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 335622 (C4 (Web Text))

Max Activating Token Index: 361

Text #4

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Data Index: 964755 (C4 (Web Text))

Max Activating Token Index: 818

Text #5

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 557181 (C4 (Web Text))

Max Activating Token Index: 167

Text #6

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Data Index: 10700 (C4 (Web Text))

Max Activating Token Index: 6

Text #7

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Max Activating Token Index: 167

Text #8

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Max Activating Token Index: 474

Text #9

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Max Activating Token Index: 459

Text #10

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Max Activating Token Index: 746

Text #11

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Max Activating Token Index: 967

Text #12

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Max Activating Token Index: 812

Text #13

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Max Activating Token Index: 971

Text #14

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Max Activating Token Index: 1022

Text #15

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Max Activating Token Index: 458

Text #16

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Text #17

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Max Activating Token Index: 634

Text #18

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Max Activating Token Index: 12

Text #19

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Data Index: 1330536 (C4 (Web Text))

Max Activating Token Index: 917