Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 979 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0228. Min Act: -0.0006

Data Index: 769010 (C4 (Web Text))

Max Activating Token Index: 157

Text #1

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Data Index: 25935 (C4 (Web Text))

Max Activating Token Index: 149

Text #2

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Max Activating Token Index: 183

Text #3

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Data Index: 621418 (C4 (Web Text))

Max Activating Token Index: 708

Text #4

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Data Index: 209704 (C4 (Web Text))

Max Activating Token Index: 207

Text #5

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Max Activating Token Index: 620

Text #6

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Max Activating Token Index: 148

Text #7

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Text #8

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Max Activating Token Index: 861

Text #9

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Max Activating Token Index: 698

Text #10

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Max Activating Token Index: 517

Text #11

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Max Activating Token Index: 807

Text #12

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Max Activating Token Index: 904

Text #13

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Data Index: 388668 (C4 (Web Text))

Max Activating Token Index: 969

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 543

Text #18

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Max Activating Token Index: 463

Text #19

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Data Index: 240661 (C4 (Web Text))

Max Activating Token Index: 67