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

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

Neuron 1815 in Layer 0

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

Text #0

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 377614 (C4 (Web Text))

Max Activating Token Index: 384

Text #1

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 1107754 (C4 (Web Text))

Max Activating Token Index: 1020

Text #2

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 840623 (C4 (Web Text))

Max Activating Token Index: 402

Text #3

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 5387 (C4 (Web Text))

Max Activating Token Index: 251

Text #4

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Max Act: 0.0068. Min Act: -0.0002

Data Index: 857181 (C4 (Web Text))

Max Activating Token Index: 440

Text #5

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Max Activating Token Index: 913

Text #6

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Max Activating Token Index: 739

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 280

Text #10

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Max Activating Token Index: 561

Text #11

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Max Activating Token Index: 727

Text #12

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Max Activating Token Index: 218

Text #13

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Max Activating Token Index: 568

Text #14

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Text #15

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Max Activating Token Index: 258

Text #16

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Data Index: 1544024 (Python Code)

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Text #17

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Data Index: 1585404 (Python Code)

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Text #18

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Max Activating Token Index: 1

Text #19

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 268829 (C4 (Web Text))

Max Activating Token Index: 854