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

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

Neuron 3555 in Layer 2

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

Text #0

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 103481 (C4 (Web Text))

Max Activating Token Index: 935

Text #1

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Data Index: 303670 (C4 (Web Text))

Max Activating Token Index: 82

Text #2

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Max Act: 0.0320. Min Act: -0.0002

Data Index: 1184151 (C4 (Web Text))

Max Activating Token Index: 301

Text #3

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 877156 (C4 (Web Text))

Max Activating Token Index: 89

Text #4

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Data Index: 241798 (C4 (Web Text))

Max Activating Token Index: 150

Text #5

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Data Index: 87409 (C4 (Web Text))

Max Activating Token Index: 472

Text #6

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Max Activating Token Index: 519

Text #7

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Data Index: 462482 (C4 (Web Text))

Max Activating Token Index: 586

Text #8

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Data Index: 135594 (C4 (Web Text))

Max Activating Token Index: 360

Text #9

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Max Activating Token Index: 769

Text #10

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Max Activating Token Index: 506

Text #11

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Data Index: 323749 (C4 (Web Text))

Max Activating Token Index: 483

Text #12

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Max Activating Token Index: 1006

Text #13

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Data Index: 565476 (C4 (Web Text))

Max Activating Token Index: 502

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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Data Index: 380904 (C4 (Web Text))

Max Activating Token Index: 978

Text #19

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Data Index: 1210960 (C4 (Web Text))

Max Activating Token Index: 141