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

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

Neuron 309 in Layer 4

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

Text #0

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Max Act: 0.3127. Min Act: -0.0001

Data Index: 1202289 (C4 (Web Text))

Max Activating Token Index: 154

Text #1

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Max Act: 0.3030. Min Act: -0.0001

Data Index: 1366211 (Python Code)

Max Activating Token Index: 25

Text #2

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Max Act: 0.3313. Min Act: -0.0001

Data Index: 628764 (C4 (Web Text))

Max Activating Token Index: 842

Text #3

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Max Act: 0.2990. Min Act: -0.0001

Data Index: 447216 (C4 (Web Text))

Max Activating Token Index: 653

Text #4

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Data Index: 1021380 (C4 (Web Text))

Max Activating Token Index: 305

Text #5

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Max Act: 0.3050. Min Act: -0.0001

Data Index: 437039 (C4 (Web Text))

Max Activating Token Index: 14

Text #6

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Text #7

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Max Activating Token Index: 187

Text #8

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Max Activating Token Index: 224

Text #9

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Max Activating Token Index: 617

Text #10

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Max Activating Token Index: 180

Text #11

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Max Activating Token Index: 729

Text #12

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Data Index: 1052315 (C4 (Web Text))

Max Activating Token Index: 757

Text #13

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Data Index: 902921 (C4 (Web Text))

Max Activating Token Index: 316

Text #14

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Data Index: 207775 (C4 (Web Text))

Max Activating Token Index: 422

Text #15

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Text #16

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Max Activating Token Index: 1000

Text #17

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Max Activating Token Index: 21

Text #18

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Max Activating Token Index: 916

Text #19

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Data Index: 9760 (C4 (Web Text))

Max Activating Token Index: 622