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

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

Neuron 1851 in Layer 0

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

Text #0

Max Range: 0.0111. Min Range: -0.0111

Max Act: 0.0111. Min Act: -0.0002

Data Index: 1408541 (Python Code)

Max Activating Token Index: 498

Text #1

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 1648185 (Python Code)

Max Activating Token Index: 636

Text #2

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Max Act: 0.0101. Min Act: -0.0002

Data Index: 1453342 (Python Code)

Max Activating Token Index: 560

Text #3

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Max Act: 0.0101. Min Act: -0.0002

Data Index: 1385152 (Python Code)

Max Activating Token Index: 706

Text #4

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1437578 (Python Code)

Max Activating Token Index: 619

Text #5

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1443059 (Python Code)

Max Activating Token Index: 540

Text #6

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1496540 (Python Code)

Max Activating Token Index: 180

Text #7

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Data Index: 1617635 (Python Code)

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Text #8

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Data Index: 262003 (C4 (Web Text))

Max Activating Token Index: 731

Text #9

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Data Index: 1415096 (Python Code)

Max Activating Token Index: 295

Text #10

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Data Index: 1386545 (Python Code)

Max Activating Token Index: 290

Text #11

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1046050 (C4 (Web Text))

Max Activating Token Index: 396

Text #12

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Data Index: 1400581 (Python Code)

Max Activating Token Index: 344

Text #13

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Data Index: 283314 (C4 (Web Text))

Max Activating Token Index: 513

Text #14

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1482002 (Python Code)

Max Activating Token Index: 123

Text #15

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Data Index: 1494064 (Python Code)

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Text #16

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Data Index: 1536321 (Python Code)

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Text #17

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Data Index: 1059411 (C4 (Web Text))

Max Activating Token Index: 611

Text #18

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Data Index: 1585410 (Python Code)

Max Activating Token Index: 447

Text #19

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Max Act: 0.0082. Min Act: -0.0002

Data Index: 1553963 (Python Code)

Max Activating Token Index: 199