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

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

Neuron 1293 in Layer 2

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

Text #0

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Max Act: 0.0524. Min Act: -0.0002

Data Index: 1210185 (C4 (Web Text))

Max Activating Token Index: 142

Text #1

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Max Act: 0.0467. Min Act: -0.0002

Data Index: 1322425 (C4 (Web Text))

Max Activating Token Index: 281

Text #2

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 628577 (C4 (Web Text))

Max Activating Token Index: 242

Text #3

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Max Act: 0.0483. Min Act: -0.0002

Data Index: 664373 (C4 (Web Text))

Max Activating Token Index: 602

Text #4

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Max Act: 0.0502. Min Act: -0.0002

Data Index: 337243 (C4 (Web Text))

Max Activating Token Index: 288

Text #5

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Data Index: 952667 (C4 (Web Text))

Max Activating Token Index: 194

Text #6

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Data Index: 273395 (C4 (Web Text))

Max Activating Token Index: 277

Text #7

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Max Activating Token Index: 933

Text #8

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Data Index: 674172 (C4 (Web Text))

Max Activating Token Index: 118

Text #9

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Data Index: 1091157 (C4 (Web Text))

Max Activating Token Index: 397

Text #10

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Max Activating Token Index: 248

Text #11

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Data Index: 354077 (C4 (Web Text))

Max Activating Token Index: 250

Text #12

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Max Activating Token Index: 364

Text #13

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Data Index: 813765 (C4 (Web Text))

Max Activating Token Index: 70

Text #14

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Data Index: 1603834 (Python Code)

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Text #15

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Data Index: 549707 (C4 (Web Text))

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Text #16

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Text #17

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Max Activating Token Index: 989

Text #18

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Max Activating Token Index: 34

Text #19

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Data Index: 414979 (C4 (Web Text))

Max Activating Token Index: 376