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

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

Neuron 785 in Layer 0

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

Text #0

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Max Act: 0.0068. Min Act: -0.0003

Data Index: 1117139 (C4 (Web Text))

Max Activating Token Index: 304

Text #1

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Max Act: 0.0065. Min Act: -0.0003

Data Index: 918990 (C4 (Web Text))

Max Activating Token Index: 173

Text #2

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Max Act: 0.0065. Min Act: -0.0004

Data Index: 1252463 (C4 (Web Text))

Max Activating Token Index: 158

Text #3

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Max Act: 0.0065. Min Act: -0.0003

Data Index: 1218297 (C4 (Web Text))

Max Activating Token Index: 971

Text #4

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 215402 (C4 (Web Text))

Max Activating Token Index: 647

Text #5

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Max Act: 0.0063. Min Act: -0.0004

Data Index: 1067024 (C4 (Web Text))

Max Activating Token Index: 273

Text #6

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Max Activating Token Index: 618

Text #7

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Max Activating Token Index: 715

Text #8

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Max Activating Token Index: 915

Text #9

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Data Index: 201813 (C4 (Web Text))

Max Activating Token Index: 227

Text #10

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Data Index: 757589 (C4 (Web Text))

Max Activating Token Index: 554

Text #11

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Data Index: 559907 (C4 (Web Text))

Max Activating Token Index: 17

Text #12

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Data Index: 466006 (C4 (Web Text))

Max Activating Token Index: 507

Text #13

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Data Index: 1317803 (C4 (Web Text))

Max Activating Token Index: 877

Text #14

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Data Index: 186597 (C4 (Web Text))

Max Activating Token Index: 543

Text #15

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Text #16

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Text #17

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Data Index: 858985 (C4 (Web Text))

Max Activating Token Index: 230

Text #18

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Data Index: 30645 (C4 (Web Text))

Max Activating Token Index: 377

Text #19

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Max Act: 0.0055. Min Act: -0.0004

Data Index: 1069382 (C4 (Web Text))

Max Activating Token Index: 16