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

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

Neuron 2489 in Layer 0

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

Text #0

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1258325 (C4 (Web Text))

Max Activating Token Index: 35

Text #1

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Data Index: 701342 (C4 (Web Text))

Max Activating Token Index: 272

Text #2

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 146806 (C4 (Web Text))

Max Activating Token Index: 756

Text #3

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 758734 (C4 (Web Text))

Max Activating Token Index: 345

Text #4

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Data Index: 698608 (C4 (Web Text))

Max Activating Token Index: 669

Text #5

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Data Index: 233184 (C4 (Web Text))

Max Activating Token Index: 176

Text #6

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Max Activating Token Index: 840

Text #7

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Max Activating Token Index: 71

Text #8

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Max Activating Token Index: 25

Text #9

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Data Index: 441177 (C4 (Web Text))

Max Activating Token Index: 349

Text #10

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Data Index: 155603 (C4 (Web Text))

Max Activating Token Index: 262

Text #11

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Max Activating Token Index: 89

Text #12

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Data Index: 181961 (C4 (Web Text))

Max Activating Token Index: 398

Text #13

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Data Index: 558173 (C4 (Web Text))

Max Activating Token Index: 198

Text #14

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Max Activating Token Index: 24

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 19

Text #18

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Max Activating Token Index: 358

Text #19

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 5601 (C4 (Web Text))

Max Activating Token Index: 716