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

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

Neuron 5088 in Layer 0

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

Text #0

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 535493 (C4 (Web Text))

Max Activating Token Index: 829

Text #1

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Data Index: 536043 (C4 (Web Text))

Max Activating Token Index: 4

Text #2

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Data Index: 1281043 (C4 (Web Text))

Max Activating Token Index: 747

Text #3

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Max Act: 0.0282. Min Act: -0.0002

Data Index: 378089 (C4 (Web Text))

Max Activating Token Index: 750

Text #4

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Data Index: 803934 (C4 (Web Text))

Max Activating Token Index: 841

Text #5

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 884310 (C4 (Web Text))

Max Activating Token Index: 801

Text #6

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Data Index: 1061124 (C4 (Web Text))

Max Activating Token Index: 632

Text #7

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Text #8

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Max Activating Token Index: 853

Text #9

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Max Activating Token Index: 953

Text #10

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Data Index: 567882 (C4 (Web Text))

Max Activating Token Index: 767

Text #11

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Max Activating Token Index: 708

Text #12

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Max Activating Token Index: 748

Text #13

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Max Activating Token Index: 133

Text #14

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Max Activating Token Index: 690

Text #15

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Max Activating Token Index: 774

Text #16

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Max Activating Token Index: 972

Text #17

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Max Activating Token Index: 6

Text #18

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Data Index: 217013 (C4 (Web Text))

Max Activating Token Index: 674

Text #19

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Data Index: 260481 (C4 (Web Text))

Max Activating Token Index: 813