Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1624 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0088. Min Act: -0.0004

Data Index: 179957 (C4 (Web Text))

Max Activating Token Index: 585

Text #1

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Max Activating Token Index: 454

Text #2

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Max Act: 0.0080. Min Act: -0.0004

Data Index: 992080 (C4 (Web Text))

Max Activating Token Index: 784

Text #3

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Max Act: 0.0078. Min Act: -0.0004

Data Index: 522959 (C4 (Web Text))

Max Activating Token Index: 708

Text #4

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Data Index: 1240699 (C4 (Web Text))

Max Activating Token Index: 223

Text #5

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Max Act: 0.0075. Min Act: -0.0004

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Max Activating Token Index: 900

Text #6

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Max Activating Token Index: 431

Text #7

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Text #8

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Max Activating Token Index: 524

Text #9

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Max Activating Token Index: 761

Text #10

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Max Activating Token Index: 633

Text #11

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Max Activating Token Index: 37

Text #12

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Max Activating Token Index: 141

Text #13

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Max Activating Token Index: 71

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: 214

Text #18

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Max Activating Token Index: 455

Text #19

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Data Index: 782022 (C4 (Web Text))

Max Activating Token Index: 742