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

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

Neuron 64 in Layer 1

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

Text #0

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Max Act: 0.0176. Min Act: -0.0003

Data Index: 677506 (C4 (Web Text))

Max Activating Token Index: 599

Text #1

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Data Index: 753341 (C4 (Web Text))

Max Activating Token Index: 241

Text #2

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Max Act: 0.0148. Min Act: -0.0003

Data Index: 652806 (C4 (Web Text))

Max Activating Token Index: 801

Text #3

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Max Act: 0.0162. Min Act: -0.0003

Data Index: 35533 (C4 (Web Text))

Max Activating Token Index: 759

Text #4

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Max Act: 0.0162. Min Act: -0.0003

Data Index: 949105 (C4 (Web Text))

Max Activating Token Index: 587

Text #5

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Data Index: 310323 (C4 (Web Text))

Max Activating Token Index: 719

Text #6

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Max Activating Token Index: 937

Text #7

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Max Activating Token Index: 367

Text #8

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Max Activating Token Index: 256

Text #9

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Max Activating Token Index: 114

Text #10

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Max Activating Token Index: 617

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Max Activating Token Index: 204

Text #12

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Max Activating Token Index: 433

Text #13

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Max Activating Token Index: 806

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 149

Text #18

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Text #19

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Data Index: 609909 (C4 (Web Text))

Max Activating Token Index: 706