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

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

Neuron 1471 in Layer 1

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

Text #0

Max Range: 0.0080. Min Range: -0.0080

Max Act: 0.0080. Min Act: -0.0006

Data Index: 240211 (C4 (Web Text))

Max Activating Token Index: 442

Text #1

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Max Act: 0.0073. Min Act: -0.0006

Data Index: 991445 (C4 (Web Text))

Max Activating Token Index: 577

Text #2

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 1473341 (Python Code)

Max Activating Token Index: 45

Text #3

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 1469914 (Python Code)

Max Activating Token Index: 922

Text #4

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 245500 (C4 (Web Text))

Max Activating Token Index: 460

Text #5

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Data Index: 1525170 (Python Code)

Max Activating Token Index: 602

Text #6

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Data Index: 1458481 (Python Code)

Max Activating Token Index: 526

Text #7

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Data Index: 1506505 (Python Code)

Max Activating Token Index: 661

Text #8

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Data Index: 1449388 (Python Code)

Max Activating Token Index: 645

Text #9

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Data Index: 1515908 (Python Code)

Max Activating Token Index: 4

Text #10

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Data Index: 1528184 (Python Code)

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Text #11

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Data Index: 1086403 (C4 (Web Text))

Max Activating Token Index: 358

Text #12

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Data Index: 1546706 (Python Code)

Max Activating Token Index: 616

Text #13

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Data Index: 307586 (C4 (Web Text))

Max Activating Token Index: 543

Text #14

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Data Index: 487871 (C4 (Web Text))

Max Activating Token Index: 475

Text #15

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Data Index: 1431850 (Python Code)

Max Activating Token Index: 383

Text #16

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Data Index: 1409737 (Python Code)

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Text #17

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Data Index: 1498956 (Python Code)

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Text #18

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Data Index: 1483512 (Python Code)

Max Activating Token Index: 902

Text #19

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Data Index: 482991 (C4 (Web Text))

Max Activating Token Index: 561