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

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

Neuron 3892 in Layer 0

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

Text #0

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 157662 (C4 (Web Text))

Max Activating Token Index: 693

Text #1

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Data Index: 435335 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Max Activating Token Index: 763

Text #3

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 1036767 (C4 (Web Text))

Max Activating Token Index: 567

Text #4

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Data Index: 174034 (C4 (Web Text))

Max Activating Token Index: 774

Text #5

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Max Activating Token Index: 484

Text #6

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Max Activating Token Index: 904

Text #7

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Max Activating Token Index: 639

Text #8

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Max Activating Token Index: 344

Text #9

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Max Activating Token Index: 614

Text #10

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Max Activating Token Index: 753

Text #11

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Max Activating Token Index: 136

Text #12

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Max Activating Token Index: 556

Text #13

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Max Activating Token Index: 116

Text #14

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Max Activating Token Index: 321

Text #15

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Max Activating Token Index: 963

Text #16

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Max Activating Token Index: 146

Text #17

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Text #18

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Max Activating Token Index: 125

Text #19

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Data Index: 818392 (C4 (Web Text))

Max Activating Token Index: 189