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

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

Neuron 264 in Layer 1

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

Text #0

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Max Act: 0.0554. Min Act: -0.0003

Data Index: 1291164 (C4 (Web Text))

Max Activating Token Index: 545

Text #1

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Data Index: 593729 (C4 (Web Text))

Max Activating Token Index: 265

Text #2

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Data Index: 96068 (C4 (Web Text))

Max Activating Token Index: 500

Text #3

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Max Act: 0.0511. Min Act: -0.0002

Data Index: 860225 (C4 (Web Text))

Max Activating Token Index: 284

Text #4

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Data Index: 1207030 (C4 (Web Text))

Max Activating Token Index: 353

Text #5

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Max Activating Token Index: 568

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 148

Text #9

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Max Activating Token Index: 612

Text #10

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Text #11

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Max Activating Token Index: 465

Text #12

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Max Activating Token Index: 215

Text #13

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Max Activating Token Index: 234

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 8524 (C4 (Web Text))

Max Activating Token Index: 727

Text #19

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Data Index: 54608 (C4 (Web Text))

Max Activating Token Index: 887