Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3230 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0106. Min Range: -0.0106

Max Act: 0.0105. Min Act: -0.0004

Data Index: 1490171 (Python Code)

Max Activating Token Index: 626

Text #1

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Max Act: 0.0106. Min Act: -0.0003

Data Index: 1399041 (Python Code)

Max Activating Token Index: 792

Text #2

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Max Act: 0.0099. Min Act: -0.0003

Data Index: 1590418 (Python Code)

Max Activating Token Index: 41

Text #3

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1637686 (Python Code)

Max Activating Token Index: 137

Text #4

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Max Act: 0.0092. Min Act: -0.0003

Data Index: 1639377 (Python Code)

Max Activating Token Index: 930

Text #5

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Max Act: 0.0085. Min Act: -0.0003

Data Index: 185660 (C4 (Web Text))

Max Activating Token Index: 249

Text #6

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Max Act: 0.0097. Min Act: -0.0003

Data Index: 39842 (C4 (Web Text))

Max Activating Token Index: 57

Text #7

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Max Activating Token Index: 159

Text #8

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Data Index: 769255 (C4 (Web Text))

Max Activating Token Index: 338

Text #9

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Data Index: 1460934 (Python Code)

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Text #10

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Data Index: 1549122 (Python Code)

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Text #11

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Max Activating Token Index: 403

Text #12

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Data Index: 881442 (C4 (Web Text))

Max Activating Token Index: 807

Text #13

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Data Index: 387244 (C4 (Web Text))

Max Activating Token Index: 504

Text #14

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Data Index: 384161 (C4 (Web Text))

Max Activating Token Index: 193

Text #15

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Data Index: 1538457 (Python Code)

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Text #16

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Text #17

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Data Index: 50239 (C4 (Web Text))

Max Activating Token Index: 399

Text #18

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Data Index: 1393920 (Python Code)

Max Activating Token Index: 79

Text #19

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Max Act: 0.0088. Min Act: -0.0004

Data Index: 1452613 (Python Code)

Max Activating Token Index: 50