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

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

Neuron 74 in Layer 2

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

Text #0

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Max Act: 0.0459. Min Act: -0.0002

Data Index: 494921 (C4 (Web Text))

Max Activating Token Index: 130

Text #1

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Data Index: 1337550 (C4 (Web Text))

Max Activating Token Index: 690

Text #2

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Max Act: 0.0456. Min Act: -0.0002

Data Index: 401164 (C4 (Web Text))

Max Activating Token Index: 184

Text #3

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Max Act: 0.0366. Min Act: -0.0002

Data Index: 1298012 (C4 (Web Text))

Max Activating Token Index: 494

Text #4

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Data Index: 313073 (C4 (Web Text))

Max Activating Token Index: 829

Text #5

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Data Index: 74771 (C4 (Web Text))

Max Activating Token Index: 156

Text #6

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Text #7

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Max Activating Token Index: 962

Text #8

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Max Activating Token Index: 235

Text #9

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Max Activating Token Index: 263

Text #10

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Max Activating Token Index: 260

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Max Activating Token Index: 737

Text #12

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Max Activating Token Index: 675

Text #13

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Data Index: 377305 (C4 (Web Text))

Max Activating Token Index: 498

Text #14

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Max Activating Token Index: 293

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 693

Text #19

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Max Act: 0.0324. Min Act: -0.0002

Data Index: 535672 (C4 (Web Text))

Max Activating Token Index: 712