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

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

Neuron 2876 in Layer 0

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

Text #0

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1101631 (C4 (Web Text))

Max Activating Token Index: 60

Text #1

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Max Activating Token Index: 717

Text #2

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Data Index: 1051821 (C4 (Web Text))

Max Activating Token Index: 498

Text #3

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 847241 (C4 (Web Text))

Max Activating Token Index: 76

Text #4

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Data Index: 270265 (C4 (Web Text))

Max Activating Token Index: 157

Text #5

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Max Activating Token Index: 15

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 740

Text #9

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Max Activating Token Index: 134

Text #10

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Max Activating Token Index: 536

Text #11

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Max Activating Token Index: 348

Text #12

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Max Activating Token Index: 227

Text #13

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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: 364

Text #18

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Max Activating Token Index: 349

Text #19

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Data Index: 4500 (C4 (Web Text))

Max Activating Token Index: 807