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

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

Neuron 92 in Layer 0

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

Text #0

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Max Act: 0.0039. Min Act: -0.0005

Data Index: 949959 (C4 (Web Text))

Max Activating Token Index: 700

Text #1

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Max Act: 0.0036. Min Act: -0.0005

Data Index: 799975 (C4 (Web Text))

Max Activating Token Index: 604

Text #2

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Max Act: 0.0036. Min Act: -0.0005

Data Index: 314293 (C4 (Web Text))

Max Activating Token Index: 829

Text #3

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Max Act: 0.0035. Min Act: -0.0005

Data Index: 867411 (C4 (Web Text))

Max Activating Token Index: 154

Text #4

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Max Act: 0.0034. Min Act: -0.0005

Data Index: 529489 (C4 (Web Text))

Max Activating Token Index: 679

Text #5

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Max Act: 0.0034. Min Act: -0.0005

Data Index: 1299550 (C4 (Web Text))

Max Activating Token Index: 199

Text #6

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Max Act: 0.0034. Min Act: -0.0005

Data Index: 32779 (C4 (Web Text))

Max Activating Token Index: 1020

Text #7

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Text #8

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Data Index: 759937 (C4 (Web Text))

Max Activating Token Index: 744

Text #9

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Data Index: 87703 (C4 (Web Text))

Max Activating Token Index: 704

Text #10

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Max Activating Token Index: 813

Text #11

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Text #12

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Data Index: 62484 (C4 (Web Text))

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Text #13

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Data Index: 110674 (C4 (Web Text))

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Text #14

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Data Index: 1316463 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1204946 (C4 (Web Text))

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Text #18

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Data Index: 1265681 (C4 (Web Text))

Max Activating Token Index: 435

Text #19

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Data Index: 1046037 (C4 (Web Text))

Max Activating Token Index: 213