Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 937 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0078. Min Act: -0.0005

Data Index: 1545107 (Python Code)

Max Activating Token Index: 221

Text #1

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1419762 (Python Code)

Max Activating Token Index: 344

Text #2

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 1590234 (Python Code)

Max Activating Token Index: 686

Text #3

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Max Act: 0.0071. Min Act: -0.0005

Data Index: 1510261 (Python Code)

Max Activating Token Index: 590

Text #4

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Max Act: 0.0070. Min Act: -0.0005

Data Index: 504797 (C4 (Web Text))

Max Activating Token Index: 424

Text #5

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Max Act: 0.0069. Min Act: -0.0005

Data Index: 1520014 (Python Code)

Max Activating Token Index: 259

Text #6

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Data Index: 1632428 (Python Code)

Max Activating Token Index: 893

Text #7

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Data Index: 1583141 (Python Code)

Max Activating Token Index: 601

Text #8

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Data Index: 1155079 (C4 (Web Text))

Max Activating Token Index: 52

Text #9

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Data Index: 90897 (C4 (Web Text))

Max Activating Token Index: 509

Text #10

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Data Index: 1076593 (C4 (Web Text))

Max Activating Token Index: 929

Text #11

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Data Index: 1497868 (Python Code)

Max Activating Token Index: 886

Text #12

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Data Index: 1401272 (Python Code)

Max Activating Token Index: 221

Text #13

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Data Index: 533147 (C4 (Web Text))

Max Activating Token Index: 329

Text #14

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Data Index: 1419773 (Python Code)

Max Activating Token Index: 283

Text #15

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Data Index: 1611543 (Python Code)

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Text #16

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Data Index: 1605392 (Python Code)

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Text #17

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Data Index: 1583234 (Python Code)

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Text #18

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Data Index: 1416583 (Python Code)

Max Activating Token Index: 100

Text #19

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Max Act: 0.0061. Min Act: -0.0005

Data Index: 1536105 (Python Code)

Max Activating Token Index: 569