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

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

Neuron 4199 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: 63689 (C4 (Web Text))

Max Activating Token Index: 129

Text #1

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Max Activating Token Index: 8

Text #2

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Data Index: 460551 (C4 (Web Text))

Max Activating Token Index: 976

Text #3

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Max Act: 0.0082. Min Act: -0.0002

Data Index: 479734 (C4 (Web Text))

Max Activating Token Index: 165

Text #4

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 154650 (C4 (Web Text))

Max Activating Token Index: 620

Text #5

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 533891 (C4 (Web Text))

Max Activating Token Index: 145

Text #6

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Max Activating Token Index: 188

Text #7

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Text #8

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Max Activating Token Index: 316

Text #9

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Data Index: 375141 (C4 (Web Text))

Max Activating Token Index: 590

Text #10

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Max Activating Token Index: 51

Text #11

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Max Activating Token Index: 157

Text #12

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Max Activating Token Index: 10

Text #13

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Max Activating Token Index: 241

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: 338

Text #19

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Data Index: 1080938 (C4 (Web Text))

Max Activating Token Index: 97