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

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

Neuron 1287 in Layer 1

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

Text #0

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Max Act: 0.0840. Min Act: -0.0002

Data Index: 1081033 (C4 (Web Text))

Max Activating Token Index: 74

Text #1

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Data Index: 440382 (C4 (Web Text))

Max Activating Token Index: 641

Text #2

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Max Act: 0.0823. Min Act: -0.0002

Data Index: 419600 (C4 (Web Text))

Max Activating Token Index: 208

Text #3

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Data Index: 264595 (C4 (Web Text))

Max Activating Token Index: 436

Text #4

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Data Index: 828840 (C4 (Web Text))

Max Activating Token Index: 782

Text #5

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Data Index: 495265 (C4 (Web Text))

Max Activating Token Index: 534

Text #6

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Max Activating Token Index: 974

Text #7

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Max Activating Token Index: 349

Text #8

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Max Activating Token Index: 175

Text #9

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Data Index: 50765 (C4 (Web Text))

Max Activating Token Index: 324

Text #10

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Max Activating Token Index: 186

Text #11

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Max Activating Token Index: 408

Text #12

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Max Activating Token Index: 888

Text #13

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Data Index: 1345520 (C4 (Web Text))

Max Activating Token Index: 624

Text #14

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Max Activating Token Index: 562

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: 646

Text #19

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Data Index: 622003 (C4 (Web Text))

Max Activating Token Index: 554