Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1867 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 544310 (C4 (Web Text))

Max Activating Token Index: 769

Text #1

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1191287 (C4 (Web Text))

Max Activating Token Index: 568

Text #2

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Max Act: 0.0327. Min Act: -0.0003

Data Index: 1303118 (C4 (Web Text))

Max Activating Token Index: 275

Text #3

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Max Act: 0.0326. Min Act: -0.0003

Data Index: 873582 (C4 (Web Text))

Max Activating Token Index: 18

Text #4

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Max Act: 0.0324. Min Act: -0.0003

Data Index: 186039 (C4 (Web Text))

Max Activating Token Index: 622

Text #5

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Data Index: 269034 (C4 (Web Text))

Max Activating Token Index: 829

Text #6

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Max Activating Token Index: 208

Text #7

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Max Activating Token Index: 638

Text #8

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Data Index: 651773 (C4 (Web Text))

Max Activating Token Index: 833

Text #9

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Max Activating Token Index: 841

Text #10

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Data Index: 925052 (C4 (Web Text))

Max Activating Token Index: 249

Text #11

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Max Activating Token Index: 836

Text #12

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Max Activating Token Index: 771

Text #13

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Max Activating Token Index: 179

Text #14

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Max Activating Token Index: 159

Text #15

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Max Activating Token Index: 293

Text #16

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Max Activating Token Index: 23

Text #17

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Max Activating Token Index: 628

Text #18

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Data Index: 126124 (C4 (Web Text))

Max Activating Token Index: 6

Text #19

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Data Index: 678155 (C4 (Web Text))

Max Activating Token Index: 316