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

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

Neuron 3672 in Layer 1

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

Text #0

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Max Act: 0.0518. Min Act: -0.0003

Data Index: 80539 (C4 (Web Text))

Max Activating Token Index: 45

Text #1

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Max Act: 0.0481. Min Act: -0.0003

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Max Activating Token Index: 149

Text #2

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Max Act: 0.0497. Min Act: -0.0003

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Max Activating Token Index: 394

Text #3

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Max Act: 0.0459. Min Act: -0.0003

Data Index: 370383 (C4 (Web Text))

Max Activating Token Index: 876

Text #4

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Max Act: 0.0457. Min Act: -0.0003

Data Index: 1190374 (C4 (Web Text))

Max Activating Token Index: 67

Text #5

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Max Activating Token Index: 836

Text #6

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Max Activating Token Index: 419

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 734

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Max Activating Token Index: 739

Text #12

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Max Activating Token Index: 486

Text #13

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Text #14

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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: 240

Text #19

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Data Index: 1178174 (C4 (Web Text))

Max Activating Token Index: 40