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

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

Neuron 1244 in Layer 9

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

Text #0

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Max Act: 0.1131. Min Act: -0.0000

Data Index: 1375219 (Python Code)

Max Activating Token Index: 714

Text #1

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Max Act: 0.1228. Min Act: -0.0000

Data Index: 1442965 (Python Code)

Max Activating Token Index: 114

Text #2

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Data Index: 323044 (C4 (Web Text))

Max Activating Token Index: 296

Text #3

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Max Act: 0.1063. Min Act: -0.0000

Data Index: 1382825 (Python Code)

Max Activating Token Index: 224

Text #4

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Max Act: 0.1049. Min Act: -0.0000

Data Index: 979260 (C4 (Web Text))

Max Activating Token Index: 374

Text #5

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Max Act: 0.1002. Min Act: -0.0000

Data Index: 573915 (C4 (Web Text))

Max Activating Token Index: 150

Text #6

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Data Index: 1495718 (Python Code)

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Text #7

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Data Index: 1583866 (Python Code)

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Text #8

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Data Index: 1550899 (Python Code)

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Text #9

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Data Index: 619256 (C4 (Web Text))

Max Activating Token Index: 153

Text #10

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Data Index: 1385163 (Python Code)

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Text #11

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Data Index: 1188009 (C4 (Web Text))

Max Activating Token Index: 219

Text #12

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Data Index: 28776 (C4 (Web Text))

Max Activating Token Index: 483

Text #13

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Data Index: 1548149 (Python Code)

Max Activating Token Index: 628

Text #14

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Data Index: 917825 (C4 (Web Text))

Max Activating Token Index: 93

Text #15

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Text #16

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Text #17

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Data Index: 1498919 (Python Code)

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Text #18

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Data Index: 1535954 (Python Code)

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Text #19

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Data Index: 996388 (C4 (Web Text))

Max Activating Token Index: 928