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

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

Neuron 3976 in Layer 2

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

Text #0

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Max Act: 0.0705. Min Act: -0.0002

Data Index: 400950 (C4 (Web Text))

Max Activating Token Index: 370

Text #1

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Data Index: 101404 (C4 (Web Text))

Max Activating Token Index: 996

Text #2

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Max Act: 0.0663. Min Act: -0.0002

Data Index: 239249 (C4 (Web Text))

Max Activating Token Index: 63

Text #3

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Max Act: 0.0626. Min Act: -0.0002

Data Index: 9100 (C4 (Web Text))

Max Activating Token Index: 383

Text #4

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Data Index: 564466 (C4 (Web Text))

Max Activating Token Index: 888

Text #5

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Data Index: 640443 (C4 (Web Text))

Max Activating Token Index: 175

Text #6

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Text #7

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Max Activating Token Index: 323

Text #8

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Max Activating Token Index: 337

Text #9

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Data Index: 1281940 (C4 (Web Text))

Max Activating Token Index: 58

Text #10

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Max Activating Token Index: 530

Text #11

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Data Index: 486499 (C4 (Web Text))

Max Activating Token Index: 117

Text #12

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Data Index: 916597 (C4 (Web Text))

Max Activating Token Index: 511

Text #13

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Data Index: 325145 (C4 (Web Text))

Max Activating Token Index: 861

Text #14

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Max Activating Token Index: 334

Text #15

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Text #16

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Text #17

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Data Index: 384603 (C4 (Web Text))

Max Activating Token Index: 269

Text #18

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Data Index: 15729 (C4 (Web Text))

Max Activating Token Index: 457

Text #19

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Data Index: 1267200 (C4 (Web Text))

Max Activating Token Index: 540