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

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

Neuron 4256 in Layer 3

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

Text #0

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Max Act: 0.1516. Min Act: -0.0001

Data Index: 348628 (C4 (Web Text))

Max Activating Token Index: 248

Text #1

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Max Act: 0.1469. Min Act: -0.0001

Data Index: 1218935 (C4 (Web Text))

Max Activating Token Index: 431

Text #2

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Max Act: 0.1306. Min Act: -0.0001

Data Index: 1035351 (C4 (Web Text))

Max Activating Token Index: 947

Text #3

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Max Act: 0.1234. Min Act: -0.0001

Data Index: 1009086 (C4 (Web Text))

Max Activating Token Index: 918

Text #4

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Data Index: 730820 (C4 (Web Text))

Max Activating Token Index: 43

Text #5

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Data Index: 65926 (C4 (Web Text))

Max Activating Token Index: 230

Text #6

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Data Index: 180710 (C4 (Web Text))

Max Activating Token Index: 126

Text #7

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Data Index: 455642 (C4 (Web Text))

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Text #8

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Data Index: 661913 (C4 (Web Text))

Max Activating Token Index: 291

Text #9

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Data Index: 776052 (C4 (Web Text))

Max Activating Token Index: 105

Text #10

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Max Activating Token Index: 892

Text #11

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Data Index: 1006457 (C4 (Web Text))

Max Activating Token Index: 89

Text #12

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Data Index: 591979 (C4 (Web Text))

Max Activating Token Index: 126

Text #13

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Data Index: 189164 (C4 (Web Text))

Max Activating Token Index: 575

Text #14

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Data Index: 484757 (C4 (Web Text))

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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: 663

Text #19

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Data Index: 1293584 (C4 (Web Text))

Max Activating Token Index: 481