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

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

Neuron 5048 in Layer 2

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

Text #0

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Max Act: 0.0827. Min Act: -0.0002

Data Index: 617486 (C4 (Web Text))

Max Activating Token Index: 239

Text #1

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Max Act: 0.0733. Min Act: -0.0002

Data Index: 400167 (C4 (Web Text))

Max Activating Token Index: 832

Text #2

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Max Act: 0.0696. Min Act: -0.0002

Data Index: 783559 (C4 (Web Text))

Max Activating Token Index: 805

Text #3

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Max Act: 0.0653. Min Act: -0.0002

Data Index: 743061 (C4 (Web Text))

Max Activating Token Index: 705

Text #4

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Data Index: 455971 (C4 (Web Text))

Max Activating Token Index: 646

Text #5

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Data Index: 1254239 (C4 (Web Text))

Max Activating Token Index: 999

Text #6

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Data Index: 295549 (C4 (Web Text))

Max Activating Token Index: 67

Text #7

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Data Index: 339312 (C4 (Web Text))

Max Activating Token Index: 141

Text #8

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Max Activating Token Index: 907

Text #9

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Max Activating Token Index: 649

Text #10

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Max Activating Token Index: 728

Text #11

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Max Activating Token Index: 944

Text #12

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Max Activating Token Index: 194

Text #13

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Max Activating Token Index: 242

Text #14

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Max Activating Token Index: 223

Text #15

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Text #16

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Max Activating Token Index: 732

Text #17

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Max Activating Token Index: 273

Text #18

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Max Activating Token Index: 797

Text #19

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Data Index: 1096953 (C4 (Web Text))

Max Activating Token Index: 388