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

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

Neuron 2803 in Layer 0

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

Text #0

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Max Act: 0.0157. Min Act: -0.0002

Data Index: 1324582 (C4 (Web Text))

Max Activating Token Index: 466

Text #1

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 137730 (C4 (Web Text))

Max Activating Token Index: 563

Text #2

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 765057 (C4 (Web Text))

Max Activating Token Index: 394

Text #3

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 31348 (C4 (Web Text))

Max Activating Token Index: 255

Text #4

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 49245 (C4 (Web Text))

Max Activating Token Index: 933

Text #5

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Max Activating Token Index: 48

Text #6

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Data Index: 424014 (C4 (Web Text))

Max Activating Token Index: 534

Text #7

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Max Activating Token Index: 645

Text #8

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Max Activating Token Index: 641

Text #9

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Data Index: 95276 (C4 (Web Text))

Max Activating Token Index: 2

Text #10

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Max Activating Token Index: 947

Text #11

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Data Index: 216191 (C4 (Web Text))

Max Activating Token Index: 983

Text #12

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Max Activating Token Index: 835

Text #13

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Max Activating Token Index: 226

Text #14

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Max Activating Token Index: 801

Text #15

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Max Activating Token Index: 936

Text #16

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Text #17

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Max Activating Token Index: 503

Text #18

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Max Activating Token Index: 89

Text #19

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Data Index: 858537 (C4 (Web Text))

Max Activating Token Index: 79