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

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

Neuron 80 in Layer 0

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

Text #0

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Max Act: 0.0141. Min Act: -0.0003

Data Index: 931758 (C4 (Web Text))

Max Activating Token Index: 236

Text #1

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Max Act: 0.0138. Min Act: -0.0003

Data Index: 389746 (C4 (Web Text))

Max Activating Token Index: 57

Text #2

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Max Act: 0.0132. Min Act: -0.0003

Data Index: 357024 (C4 (Web Text))

Max Activating Token Index: 330

Text #3

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Max Act: 0.0130. Min Act: -0.0004

Data Index: 239342 (C4 (Web Text))

Max Activating Token Index: 778

Text #4

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Max Act: 0.0126. Min Act: -0.0003

Data Index: 215745 (C4 (Web Text))

Max Activating Token Index: 820

Text #5

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Data Index: 4676 (C4 (Web Text))

Max Activating Token Index: 285

Text #6

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Max Activating Token Index: 153

Text #7

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Max Activating Token Index: 771

Text #8

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Max Activating Token Index: 131

Text #9

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Data Index: 512687 (C4 (Web Text))

Max Activating Token Index: 709

Text #10

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Data Index: 196876 (C4 (Web Text))

Max Activating Token Index: 212

Text #11

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Max Activating Token Index: 794

Text #12

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Max Activating Token Index: 489

Text #13

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Max Activating Token Index: 76

Text #14

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Max Activating Token Index: 452

Text #15

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Text #16

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Max Activating Token Index: 1003

Text #17

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Max Activating Token Index: 23

Text #18

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Data Index: 328175 (C4 (Web Text))

Max Activating Token Index: 130

Text #19

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Max Act: 0.0119. Min Act: -0.0003

Data Index: 16037 (C4 (Web Text))

Max Activating Token Index: 1016