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

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

Neuron 230 in Layer 2

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

Text #0

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Max Act: 0.0929. Min Act: -0.0002

Data Index: 1530543 (Python Code)

Max Activating Token Index: 160

Text #1

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Data Index: 1100272 (C4 (Web Text))

Max Activating Token Index: 44

Text #2

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Data Index: 939939 (C4 (Web Text))

Max Activating Token Index: 48

Text #3

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Max Activating Token Index: 576

Text #4

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Max Activating Token Index: 763

Text #5

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Max Act: 0.0791. Min Act: -0.0002

Data Index: 454570 (C4 (Web Text))

Max Activating Token Index: 389

Text #6

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Max Activating Token Index: 491

Text #7

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Text #8

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Max Activating Token Index: 713

Text #9

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Data Index: 1647133 (Python Code)

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Text #10

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Max Activating Token Index: 426

Text #11

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Max Activating Token Index: 663

Text #12

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Max Activating Token Index: 23

Text #13

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Max Activating Token Index: 528

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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Max Activating Token Index: 20

Text #19

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Data Index: 1471718 (Python Code)

Max Activating Token Index: 1019