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

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

Neuron 118 in Layer 1

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

Text #0

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Max Act: 0.0371. Min Act: -0.0003

Data Index: 237772 (C4 (Web Text))

Max Activating Token Index: 273

Text #1

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Data Index: 1216915 (C4 (Web Text))

Max Activating Token Index: 427

Text #2

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Data Index: 501472 (C4 (Web Text))

Max Activating Token Index: 591

Text #3

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Max Act: 0.0333. Min Act: -0.0003

Data Index: 501015 (C4 (Web Text))

Max Activating Token Index: 517

Text #4

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Data Index: 877046 (C4 (Web Text))

Max Activating Token Index: 233

Text #5

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Max Activating Token Index: 199

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 498

Text #9

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Text #10

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Max Activating Token Index: 606

Text #12

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Text #13

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Data Index: 1356759 (C4 (Web Text))

Max Activating Token Index: 841

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: 805

Text #18

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Max Activating Token Index: 679

Text #19

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Data Index: 800227 (C4 (Web Text))

Max Activating Token Index: 593