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

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

Neuron 1808 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0225. Min Act: -0.0006

Data Index: 514189 (C4 (Web Text))

Max Activating Token Index: 806

Text #1

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Max Act: 0.0206. Min Act: -0.0006

Data Index: 555449 (C4 (Web Text))

Max Activating Token Index: 331

Text #2

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Max Act: 0.0180. Min Act: -0.0006

Data Index: 782758 (C4 (Web Text))

Max Activating Token Index: 162

Text #3

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Max Act: 0.0181. Min Act: -0.0006

Data Index: 915005 (C4 (Web Text))

Max Activating Token Index: 722

Text #4

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Max Act: 0.0170. Min Act: -0.0006

Data Index: 731536 (C4 (Web Text))

Max Activating Token Index: 638

Text #5

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 556933 (C4 (Web Text))

Max Activating Token Index: 213

Text #6

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Data Index: 1634585 (Python Code)

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Text #7

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Max Activating Token Index: 329

Text #8

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Max Activating Token Index: 201

Text #9

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Max Activating Token Index: 139

Text #10

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Max Activating Token Index: 126

Text #11

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Max Activating Token Index: 349

Text #12

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Max Activating Token Index: 960

Text #13

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Data Index: 844619 (C4 (Web Text))

Max Activating Token Index: 805

Text #14

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Data Index: 975191 (C4 (Web Text))

Max Activating Token Index: 279

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 327

Text #18

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Data Index: 784540 (C4 (Web Text))

Max Activating Token Index: 733

Text #19

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Data Index: 298887 (C4 (Web Text))

Max Activating Token Index: 275