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

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

Neuron 1300 in Layer 1

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

Text #0

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Max Act: 0.0608. Min Act: -0.0003

Data Index: 334225 (C4 (Web Text))

Max Activating Token Index: 889

Text #1

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Max Activating Token Index: 885

Text #2

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Max Activating Token Index: 1000

Text #3

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Data Index: 1085764 (C4 (Web Text))

Max Activating Token Index: 951

Text #4

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Max Activating Token Index: 137

Text #5

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Max Activating Token Index: 556

Text #6

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Max Activating Token Index: 349

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Text #9

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Text #10

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Max Activating Token Index: 693

Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 1144894 (C4 (Web Text))

Max Activating Token Index: 718