Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 948 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.2720. Min Act: -0.0003

Data Index: 1318851 (C4 (Web Text))

Max Activating Token Index: 379

Text #1

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Max Activating Token Index: 835

Text #2

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Data Index: 501083 (C4 (Web Text))

Max Activating Token Index: 559

Text #3

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Max Act: 0.1932. Min Act: -0.0003

Data Index: 133352 (C4 (Web Text))

Max Activating Token Index: 472

Text #4

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Data Index: 314751 (C4 (Web Text))

Max Activating Token Index: 749

Text #5

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Max Activating Token Index: 626

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 441

Text #10

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Max Activating Token Index: 814

Text #11

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Max Activating Token Index: 741

Text #12

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Max Activating Token Index: 458

Text #13

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Max Activating Token Index: 145

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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Text #19

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Data Index: 664422 (C4 (Web Text))

Max Activating Token Index: 1000