Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1582 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0139. Min Act: -0.0003

Data Index: 1595696 (Python Code)

Max Activating Token Index: 981

Text #1

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Max Act: 0.0130. Min Act: -0.0004

Data Index: 1376074 (Python Code)

Max Activating Token Index: 195

Text #2

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Max Act: 0.0130. Min Act: -0.0003

Data Index: 1513943 (Python Code)

Max Activating Token Index: 258

Text #3

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Max Act: 0.0118. Min Act: -0.0003

Data Index: 1514544 (Python Code)

Max Activating Token Index: 115

Text #4

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Max Act: 0.0114. Min Act: -0.0004

Data Index: 1314307 (C4 (Web Text))

Max Activating Token Index: 240

Text #5

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Max Act: 0.0115. Min Act: -0.0003

Data Index: 1208912 (C4 (Web Text))

Max Activating Token Index: 374

Text #6

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Data Index: 65884 (C4 (Web Text))

Max Activating Token Index: 882

Text #7

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Max Activating Token Index: 313

Text #8

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Max Activating Token Index: 649

Text #9

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Data Index: 197723 (C4 (Web Text))

Max Activating Token Index: 567

Text #10

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Max Activating Token Index: 311

Text #11

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Max Activating Token Index: 455

Text #12

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Max Activating Token Index: 667

Text #13

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Data Index: 1337797 (C4 (Web Text))

Max Activating Token Index: 472

Text #14

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Max Activating Token Index: 838

Text #15

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Max Activating Token Index: 540

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 823

Text #19

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Max Act: 0.0106. Min Act: -0.0004

Data Index: 1153077 (C4 (Web Text))

Max Activating Token Index: 599