Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2816 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0052. Min Range: -0.0052

Max Act: 0.0049. Min Act: -0.0004

Data Index: 1343333 (C4 (Web Text))

Max Activating Token Index: 918

Text #1

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Max Act: 0.0052. Min Act: -0.0004

Data Index: 990138 (C4 (Web Text))

Max Activating Token Index: 733

Text #2

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Max Act: 0.0049. Min Act: -0.0004

Data Index: 828911 (C4 (Web Text))

Max Activating Token Index: 63

Text #3

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Max Act: 0.0050. Min Act: -0.0004

Data Index: 871300 (C4 (Web Text))

Max Activating Token Index: 978

Text #4

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Max Act: 0.0044. Min Act: -0.0004

Data Index: 1003768 (C4 (Web Text))

Max Activating Token Index: 916

Text #5

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Max Act: 0.0045. Min Act: -0.0004

Data Index: 239510 (C4 (Web Text))

Max Activating Token Index: 190

Text #6

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Max Act: 0.0044. Min Act: -0.0004

Data Index: 181638 (C4 (Web Text))

Max Activating Token Index: 81

Text #7

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Max Activating Token Index: 659

Text #8

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Data Index: 212758 (C4 (Web Text))

Max Activating Token Index: 603

Text #9

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Max Act: 0.0039. Min Act: -0.0004

Data Index: 1031796 (C4 (Web Text))

Max Activating Token Index: 562

Text #10

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Max Act: 0.0039. Min Act: -0.0004

Data Index: 218432 (C4 (Web Text))

Max Activating Token Index: 667

Text #11

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Data Index: 331166 (C4 (Web Text))

Max Activating Token Index: 1023

Text #12

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Data Index: 850770 (C4 (Web Text))

Max Activating Token Index: 307

Text #13

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Data Index: 371310 (C4 (Web Text))

Max Activating Token Index: 950

Text #14

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Max Activating Token Index: 52

Text #15

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Max Activating Token Index: 431

Text #16

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Data Index: 1477765 (Python Code)

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Text #17

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Data Index: 850448 (C4 (Web Text))

Max Activating Token Index: 895

Text #18

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Max Activating Token Index: 18

Text #19

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Max Act: 0.0039. Min Act: -0.0004

Data Index: 992574 (C4 (Web Text))

Max Activating Token Index: 91