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

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

Neuron 2770 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 809528 (C4 (Web Text))

Max Activating Token Index: 816

Text #1

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Max Activating Token Index: 242

Text #2

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Max Act: 0.0075. Min Act: -0.0002

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Max Activating Token Index: 102

Text #3

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Max Act: 0.0075. Min Act: -0.0002

Data Index: 619720 (C4 (Web Text))

Max Activating Token Index: 943

Text #4

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Data Index: 516675 (C4 (Web Text))

Max Activating Token Index: 92

Text #5

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Max Activating Token Index: 605

Text #6

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Max Activating Token Index: 16

Text #7

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Max Activating Token Index: 740

Text #8

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Max Activating Token Index: 367

Text #9

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Max Activating Token Index: 258

Text #10

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Max Activating Token Index: 856

Text #11

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Text #12

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Max Activating Token Index: 471

Text #13

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Max Activating Token Index: 862

Text #14

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Max Activating Token Index: 57

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: 116

Text #19

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Data Index: 407309 (C4 (Web Text))

Max Activating Token Index: 35