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

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

Neuron 1380 in Layer 0

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

Text #0

Max Range: 0.0068. Min Range: -0.0068

Max Act: 0.0068. Min Act: -0.0003

Data Index: 1580823 (Python Code)

Max Activating Token Index: 891

Text #1

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Max Act: 0.0066. Min Act: -0.0003

Data Index: 1569699 (Python Code)

Max Activating Token Index: 844

Text #2

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Max Act: 0.0067. Min Act: -0.0004

Data Index: 1570516 (Python Code)

Max Activating Token Index: 546

Text #3

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 1655275 (Python Code)

Max Activating Token Index: 113

Text #4

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Max Act: 0.0063. Min Act: -0.0003

Data Index: 1594820 (Python Code)

Max Activating Token Index: 885

Text #5

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 1489095 (Python Code)

Max Activating Token Index: 529

Text #6

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Max Act: 0.0063. Min Act: -0.0004

Data Index: 1390233 (Python Code)

Max Activating Token Index: 709

Text #7

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Max Act: 0.0062. Min Act: -0.0003

Data Index: 1485796 (Python Code)

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Text #8

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Data Index: 1487181 (Python Code)

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Text #9

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Max Act: 0.0062. Min Act: -0.0004

Data Index: 1472364 (Python Code)

Max Activating Token Index: 577

Text #10

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Data Index: 1461450 (Python Code)

Max Activating Token Index: 521

Text #11

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Data Index: 1543921 (Python Code)

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Text #12

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Data Index: 1559616 (Python Code)

Max Activating Token Index: 1023

Text #13

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Max Act: 0.0061. Min Act: -0.0003

Data Index: 1614444 (Python Code)

Max Activating Token Index: 1023

Text #14

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Max Act: 0.0061. Min Act: -0.0003

Data Index: 1426591 (Python Code)

Max Activating Token Index: 385

Text #15

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Data Index: 1511603 (Python Code)

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Text #16

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Data Index: 1478342 (Python Code)

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Text #17

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Data Index: 1553817 (Python Code)

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Text #18

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Data Index: 1372649 (Python Code)

Max Activating Token Index: 301

Text #19

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Max Act: 0.0061. Min Act: -0.0004

Data Index: 1543503 (Python Code)

Max Activating Token Index: 435