Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 30 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0209. Min Act: -0.0005

Data Index: 643914 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 901744 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0205. Min Act: -0.0005

Data Index: 675158 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0199. Min Act: -0.0005

Data Index: 1094093 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Data Index: 536479 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Data Index: 1602435 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1428279 (Python Code)

Max Activating Token Index: 1023

Text #7

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Data Index: 1181069 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 1023

Text #9

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Data Index: 1486426 (Python Code)

Max Activating Token Index: 1023

Text #10

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Max Activating Token Index: 1023

Text #11

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Data Index: 1525893 (Python Code)

Max Activating Token Index: 1023

Text #12

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Max Activating Token Index: 1023

Text #13

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Data Index: 95861 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Max Activating Token Index: 1023

Text #15

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Text #16

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Max Activating Token Index: 1023

Text #17

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Max Activating Token Index: 1023

Text #18

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Max Activating Token Index: 1023

Text #19

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Data Index: 523404 (C4 (Web Text))

Max Activating Token Index: 1023