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

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

Neuron 1541 in Layer 0

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

Text #0

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Max Act: 0.0052. Min Act: -0.0004

Data Index: 1514941 (Python Code)

Max Activating Token Index: 86

Text #1

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Data Index: 934665 (C4 (Web Text))

Max Activating Token Index: 34

Text #2

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Max Act: 0.0048. Min Act: -0.0004

Data Index: 11790 (C4 (Web Text))

Max Activating Token Index: 98

Text #3

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Max Act: 0.0048. Min Act: -0.0004

Data Index: 1530498 (Python Code)

Max Activating Token Index: 6

Text #4

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Max Act: 0.0047. Min Act: -0.0004

Data Index: 1178432 (C4 (Web Text))

Max Activating Token Index: 89

Text #5

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Max Act: 0.0046. Min Act: -0.0004

Data Index: 1441105 (Python Code)

Max Activating Token Index: 52

Text #6

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Data Index: 1543773 (Python Code)

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Text #7

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Data Index: 1621468 (Python Code)

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Text #8

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Data Index: 1369647 (Python Code)

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Text #9

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Data Index: 1404431 (Python Code)

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Text #10

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Data Index: 1580768 (Python Code)

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Text #11

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Text #12

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Data Index: 1537187 (Python Code)

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Text #13

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Data Index: 1487463 (Python Code)

Max Activating Token Index: 53

Text #14

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Data Index: 1387430 (Python Code)

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Text #15

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Text #16

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Data Index: 1566640 (Python Code)

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Text #17

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Data Index: 1574079 (Python Code)

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Text #18

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Data Index: 1412271 (Python Code)

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Text #19

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Data Index: 1481937 (Python Code)

Max Activating Token Index: 1012