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

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

Neuron 3681 in Layer 0

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

Text #0

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Max Act: 0.0092. Min Act: -0.0002

Data Index: 634333 (C4 (Web Text))

Max Activating Token Index: 176

Text #1

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Max Activating Token Index: 67

Text #2

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 507035 (C4 (Web Text))

Max Activating Token Index: 516

Text #3

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Max Act: 0.0093. Min Act: -0.0002

Data Index: 856906 (C4 (Web Text))

Max Activating Token Index: 68

Text #4

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 882871 (C4 (Web Text))

Max Activating Token Index: 42

Text #5

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Max Act: 0.0090. Min Act: -0.0002

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Max Activating Token Index: 107

Text #6

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Max Activating Token Index: 654

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 129

Text #10

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Max Activating Token Index: 954

Text #11

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Max Activating Token Index: 783

Text #12

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Max Activating Token Index: 469

Text #13

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Max Activating Token Index: 530

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 85

Text #19

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Data Index: 1106173 (C4 (Web Text))

Max Activating Token Index: 503