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

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

Neuron 964 in Layer 2

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

Text #0

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Max Act: 0.0637. Min Act: -0.0003

Data Index: 1639635 (Python Code)

Max Activating Token Index: 14

Text #1

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Max Act: 0.0637. Min Act: -0.0003

Data Index: 1493759 (Python Code)

Max Activating Token Index: 888

Text #2

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Max Act: 0.0611. Min Act: -0.0003

Data Index: 1472653 (Python Code)

Max Activating Token Index: 313

Text #3

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Max Act: 0.0611. Min Act: -0.0003

Data Index: 1449102 (Python Code)

Max Activating Token Index: 661

Text #4

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Max Act: 0.0580. Min Act: -0.0003

Data Index: 1476690 (Python Code)

Max Activating Token Index: 955

Text #5

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Max Act: 0.0608. Min Act: -0.0003

Data Index: 1486230 (Python Code)

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Text #6

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Data Index: 1624416 (Python Code)

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Text #7

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Data Index: 1414590 (Python Code)

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Text #8

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Data Index: 1514525 (Python Code)

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Data Index: 1588637 (Python Code)

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Text #10

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Data Index: 1398725 (Python Code)

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Data Index: 1560900 (Python Code)

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Text #12

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Data Index: 1543348 (Python Code)

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Text #13

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Data Index: 1626662 (Python Code)

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Text #14

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Data Index: 1433507 (Python Code)

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Text #15

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Data Index: 1456855 (Python Code)

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Text #16

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Data Index: 1648238 (Python Code)

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Text #17

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Data Index: 1627031 (Python Code)

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Text #18

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Data Index: 1610595 (Python Code)

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Text #19

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Data Index: 1607473 (Python Code)

Max Activating Token Index: 102