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

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

Neuron 1970 in Layer 1

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

Text #0

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 1047516 (C4 (Web Text))

Max Activating Token Index: 328

Text #1

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 300224 (C4 (Web Text))

Max Activating Token Index: 312

Text #2

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 481520 (C4 (Web Text))

Max Activating Token Index: 655

Text #3

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 605353 (C4 (Web Text))

Max Activating Token Index: 239

Text #4

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Max Act: 0.0124. Min Act: -0.0006

Data Index: 608866 (C4 (Web Text))

Max Activating Token Index: 739

Text #5

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 1062256 (C4 (Web Text))

Max Activating Token Index: 444

Text #6

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Max Act: 0.0120. Min Act: -0.0006

Data Index: 1051684 (C4 (Web Text))

Max Activating Token Index: 191

Text #7

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Data Index: 525167 (C4 (Web Text))

Max Activating Token Index: 37

Text #8

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Data Index: 151267 (C4 (Web Text))

Max Activating Token Index: 253

Text #9

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 1038993 (C4 (Web Text))

Max Activating Token Index: 172

Text #10

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Data Index: 1631042 (Python Code)

Max Activating Token Index: 271

Text #11

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Data Index: 849035 (C4 (Web Text))

Max Activating Token Index: 587

Text #12

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Data Index: 488693 (C4 (Web Text))

Max Activating Token Index: 165

Text #13

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Max Activating Token Index: 602

Text #14

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Max Activating Token Index: 626

Text #15

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Text #16

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Max Activating Token Index: 732

Text #17

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Max Activating Token Index: 743

Text #18

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 197483 (C4 (Web Text))

Max Activating Token Index: 689

Text #19

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Max Act: 0.0105. Min Act: -0.0006

Data Index: 1392240 (Python Code)

Max Activating Token Index: 530