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

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

Neuron 1025 in Layer 0

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

Text #0

Max Range: 0.0116. Min Range: -0.0116

Max Act: 0.0116. Min Act: -0.0002

Data Index: 36650 (C4 (Web Text))

Max Activating Token Index: 218

Text #1

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Max Act: 0.0116. Min Act: -0.0002

Data Index: 844581 (C4 (Web Text))

Max Activating Token Index: 739

Text #2

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 363119 (C4 (Web Text))

Max Activating Token Index: 726

Text #3

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 777208 (C4 (Web Text))

Max Activating Token Index: 82

Text #4

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Max Act: 0.0113. Min Act: -0.0002

Data Index: 1355468 (C4 (Web Text))

Max Activating Token Index: 56

Text #5

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 846407 (C4 (Web Text))

Max Activating Token Index: 36

Text #6

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Max Act: 0.0113. Min Act: -0.0002

Data Index: 297772 (C4 (Web Text))

Max Activating Token Index: 28

Text #7

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Data Index: 150406 (C4 (Web Text))

Max Activating Token Index: 829

Text #8

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Max Activating Token Index: 804

Text #9

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Data Index: 755944 (C4 (Web Text))

Max Activating Token Index: 114

Text #10

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 127009 (C4 (Web Text))

Max Activating Token Index: 486

Text #11

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Max Activating Token Index: 111

Text #12

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Data Index: 947126 (C4 (Web Text))

Max Activating Token Index: 156

Text #13

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 982521 (C4 (Web Text))

Max Activating Token Index: 31

Text #14

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Data Index: 772273 (C4 (Web Text))

Max Activating Token Index: 6

Text #15

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Max Activating Token Index: 562

Text #16

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Max Activating Token Index: 241

Text #17

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Max Activating Token Index: 308

Text #18

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Data Index: 126752 (C4 (Web Text))

Max Activating Token Index: 947

Text #19

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Max Act: 0.0106. Min Act: -0.0002

Data Index: 174607 (C4 (Web Text))

Max Activating Token Index: 364