Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1647 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0166. Min Act: -0.0005

Data Index: 213485 (C4 (Web Text))

Max Activating Token Index: 434

Text #1

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Max Act: 0.0162. Min Act: -0.0005

Data Index: 1227561 (C4 (Web Text))

Max Activating Token Index: 900

Text #2

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Max Act: 0.0152. Min Act: -0.0006

Data Index: 792993 (C4 (Web Text))

Max Activating Token Index: 2

Text #3

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Max Act: 0.0153. Min Act: -0.0005

Data Index: 401928 (C4 (Web Text))

Max Activating Token Index: 440

Text #4

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Max Act: 0.0149. Min Act: -0.0005

Data Index: 106169 (C4 (Web Text))

Max Activating Token Index: 703

Text #5

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 624713 (C4 (Web Text))

Max Activating Token Index: 262

Text #6

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Data Index: 624315 (C4 (Web Text))

Max Activating Token Index: 723

Text #7

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Max Activating Token Index: 961

Text #8

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Data Index: 1113108 (C4 (Web Text))

Max Activating Token Index: 227

Text #9

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Data Index: 555664 (C4 (Web Text))

Max Activating Token Index: 152

Text #10

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Data Index: 1564056 (Python Code)

Max Activating Token Index: 418

Text #11

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 937161 (C4 (Web Text))

Max Activating Token Index: 321

Text #12

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Max Activating Token Index: 975

Text #13

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Data Index: 1252005 (C4 (Web Text))

Max Activating Token Index: 797

Text #14

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Data Index: 516635 (C4 (Web Text))

Max Activating Token Index: 386

Text #15

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Max Activating Token Index: 188

Text #16

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Max Activating Token Index: 298

Text #17

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Max Activating Token Index: 752

Text #18

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Data Index: 1058751 (C4 (Web Text))

Max Activating Token Index: 25

Text #19

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Max Act: 0.0116. Min Act: -0.0005

Data Index: 520841 (C4 (Web Text))

Max Activating Token Index: 712