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

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

Neuron 4134 in Layer 1

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

Text #0

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Max Act: 0.0969. Min Act: -0.0002

Data Index: 238056 (C4 (Web Text))

Max Activating Token Index: 312

Text #1

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Max Act: 0.0869. Min Act: -0.0003

Data Index: 371652 (C4 (Web Text))

Max Activating Token Index: 59

Text #2

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Max Act: 0.0834. Min Act: -0.0003

Data Index: 807791 (C4 (Web Text))

Max Activating Token Index: 118

Text #3

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Max Act: 0.0838. Min Act: -0.0003

Data Index: 924126 (C4 (Web Text))

Max Activating Token Index: 655

Text #4

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Max Act: 0.0823. Min Act: -0.0003

Data Index: 963056 (C4 (Web Text))

Max Activating Token Index: 377

Text #5

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Max Act: 0.0823. Min Act: -0.0003

Data Index: 427466 (C4 (Web Text))

Max Activating Token Index: 533

Text #6

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Data Index: 833662 (C4 (Web Text))

Max Activating Token Index: 132

Text #7

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Max Activating Token Index: 91

Text #8

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Data Index: 751391 (C4 (Web Text))

Max Activating Token Index: 500

Text #9

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Data Index: 358341 (C4 (Web Text))

Max Activating Token Index: 191

Text #10

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Max Activating Token Index: 445

Text #11

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Max Activating Token Index: 233

Text #12

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Max Activating Token Index: 151

Text #13

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Max Activating Token Index: 40

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 262

Text #17

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Max Activating Token Index: 91

Text #18

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Data Index: 681724 (C4 (Web Text))

Max Activating Token Index: 553

Text #19

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Data Index: 47150 (C4 (Web Text))

Max Activating Token Index: 166