Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1088 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0635. Min Act: -0.0003

Data Index: 1447393 (Python Code)

Max Activating Token Index: 990

Text #1

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Max Act: 0.0590. Min Act: -0.0003

Data Index: 1532439 (Python Code)

Max Activating Token Index: 584

Text #2

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Max Act: 0.0564. Min Act: -0.0003

Data Index: 1369849 (Python Code)

Max Activating Token Index: 45

Text #3

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Max Act: 0.0560. Min Act: -0.0001

Data Index: 1360141 (Python Code)

Max Activating Token Index: 148

Text #4

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Max Act: 0.0544. Min Act: -0.0001

Data Index: 1596923 (Python Code)

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Text #5

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Max Act: 0.0537. Min Act: -0.0003

Data Index: 1521704 (Python Code)

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Text #6

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Data Index: 1435623 (Python Code)

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Text #7

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Data Index: 1522981 (Python Code)

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Text #8

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Data Index: 1550699 (Python Code)

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Text #9

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Data Index: 1612821 (Python Code)

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Text #10

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Data Index: 1409348 (Python Code)

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Text #11

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Data Index: 1598492 (Python Code)

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Text #12

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Data Index: 1638930 (Python Code)

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Text #13

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Data Index: 1579872 (Python Code)

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Text #14

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Data Index: 1588416 (Python Code)

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Text #15

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Data Index: 1568913 (Python Code)

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Text #16

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Data Index: 1626332 (Python Code)

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Text #17

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Data Index: 1558133 (Python Code)

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Text #18

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Data Index: 1396238 (Python Code)

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Text #19

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Max Act: 0.0475. Min Act: -0.0003

Data Index: 1654838 (Python Code)

Max Activating Token Index: 604