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

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

Neuron 1944 in Layer 0

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

Text #0

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Max Act: 0.0134. Min Act: -0.0002

Data Index: 1330291 (C4 (Web Text))

Max Activating Token Index: 21

Text #1

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 946212 (C4 (Web Text))

Max Activating Token Index: 81

Text #2

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 132495 (C4 (Web Text))

Max Activating Token Index: 5

Text #3

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 961252 (C4 (Web Text))

Max Activating Token Index: 86

Text #4

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Data Index: 428976 (C4 (Web Text))

Max Activating Token Index: 543

Text #5

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Data Index: 734055 (C4 (Web Text))

Max Activating Token Index: 297

Text #6

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Max Activating Token Index: 38

Text #7

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Max Activating Token Index: 37

Text #8

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Max Activating Token Index: 43

Text #9

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Max Activating Token Index: 86

Text #10

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Max Activating Token Index: 380

Text #11

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Max Activating Token Index: 313

Text #12

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Max Activating Token Index: 144

Text #13

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Max Activating Token Index: 386

Text #14

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Max Activating Token Index: 44

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 297

Text #18

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Max Activating Token Index: 210

Text #19

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Data Index: 460817 (C4 (Web Text))

Max Activating Token Index: 213