Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2091 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 865396 (C4 (Web Text))

Max Activating Token Index: 145

Text #1

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Data Index: 441654 (C4 (Web Text))

Max Activating Token Index: 998

Text #2

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Max Act: 0.0190. Min Act: -0.0003

Data Index: 232932 (C4 (Web Text))

Max Activating Token Index: 255

Text #3

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 958441 (C4 (Web Text))

Max Activating Token Index: 498

Text #4

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 444152 (C4 (Web Text))

Max Activating Token Index: 986

Text #5

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Data Index: 276557 (C4 (Web Text))

Max Activating Token Index: 263

Text #6

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Data Index: 170994 (C4 (Web Text))

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Text #7

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Text #8

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Max Activating Token Index: 333

Text #9

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Max Activating Token Index: 806

Text #10

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Max Activating Token Index: 730

Text #11

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Max Activating Token Index: 247

Text #12

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Max Activating Token Index: 55

Text #13

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Max Activating Token Index: 495

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: 149

Text #18

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Text #19

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Data Index: 13619 (C4 (Web Text))

Max Activating Token Index: 273