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

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

Neuron 2410 in Layer 2

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

Text #0

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Max Act: 0.0750. Min Act: -0.0002

Data Index: 1224081 (C4 (Web Text))

Max Activating Token Index: 211

Text #1

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Data Index: 410811 (C4 (Web Text))

Max Activating Token Index: 442

Text #2

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Max Act: 0.0510. Min Act: -0.0002

Data Index: 277261 (C4 (Web Text))

Max Activating Token Index: 858

Text #3

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Data Index: 371095 (C4 (Web Text))

Max Activating Token Index: 662

Text #4

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Data Index: 1159001 (C4 (Web Text))

Max Activating Token Index: 19

Text #5

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Data Index: 138894 (C4 (Web Text))

Max Activating Token Index: 89

Text #6

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Max Activating Token Index: 108

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 256

Text #10

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Max Activating Token Index: 849

Text #11

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Data Index: 1353497 (C4 (Web Text))

Max Activating Token Index: 440

Text #12

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Max Activating Token Index: 644

Text #13

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Max Activating Token Index: 790

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: 101

Text #18

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Max Activating Token Index: 331

Text #19

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Data Index: 1035065 (C4 (Web Text))

Max Activating Token Index: 570