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

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

Neuron 323 in Layer 1

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

Text #0

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Max Act: 0.0477. Min Act: -0.0003

Data Index: 1277182 (C4 (Web Text))

Max Activating Token Index: 189

Text #1

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Max Activating Token Index: 502

Text #2

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Data Index: 109018 (C4 (Web Text))

Max Activating Token Index: 500

Text #3

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Max Act: 0.0424. Min Act: -0.0003

Data Index: 571593 (C4 (Web Text))

Max Activating Token Index: 393

Text #4

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Data Index: 160010 (C4 (Web Text))

Max Activating Token Index: 887

Text #5

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Max Activating Token Index: 308

Text #6

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Text #7

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Max Activating Token Index: 922

Text #8

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Text #9

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Max Activating Token Index: 562

Text #10

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Max Activating Token Index: 495

Text #12

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Max Activating Token Index: 837

Text #13

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Max Activating Token Index: 388

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: 724020 (C4 (Web Text))

Max Activating Token Index: 782