Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 563 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0107. Min Act: -0.0006

Data Index: 778558 (C4 (Web Text))

Max Activating Token Index: 102

Text #1

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Max Act: 0.0106. Min Act: -0.0005

Data Index: 1066509 (C4 (Web Text))

Max Activating Token Index: 334

Text #2

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1337292 (C4 (Web Text))

Max Activating Token Index: 307

Text #3

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Max Act: 0.0105. Min Act: -0.0006

Data Index: 173776 (C4 (Web Text))

Max Activating Token Index: 406

Text #4

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 398554 (C4 (Web Text))

Max Activating Token Index: 279

Text #5

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Max Activating Token Index: 981

Text #6

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Max Activating Token Index: 896

Text #7

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Data Index: 928154 (C4 (Web Text))

Max Activating Token Index: 141

Text #8

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Max Activating Token Index: 298

Text #9

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Data Index: 833053 (C4 (Web Text))

Max Activating Token Index: 302

Text #10

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Data Index: 269843 (C4 (Web Text))

Max Activating Token Index: 825

Text #11

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Data Index: 641893 (C4 (Web Text))

Max Activating Token Index: 965

Text #12

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Max Activating Token Index: 232

Text #13

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Data Index: 386167 (C4 (Web Text))

Max Activating Token Index: 30

Text #14

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Data Index: 314701 (C4 (Web Text))

Max Activating Token Index: 315

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 512

Text #18

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Data Index: 56269 (C4 (Web Text))

Max Activating Token Index: 270

Text #19

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Data Index: 925747 (C4 (Web Text))

Max Activating Token Index: 634