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

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

Neuron 1676 in Layer 0

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

Text #0

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Max Act: 0.0085. Min Act: -0.0003

Data Index: 1526159 (Python Code)

Max Activating Token Index: 732

Text #1

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Max Act: 0.0078. Min Act: -0.0004

Data Index: 1580785 (Python Code)

Max Activating Token Index: 989

Text #2

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Max Act: 0.0078. Min Act: -0.0003

Data Index: 1578389 (Python Code)

Max Activating Token Index: 633

Text #3

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Max Act: 0.0078. Min Act: -0.0003

Data Index: 1490688 (Python Code)

Max Activating Token Index: 621

Text #4

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Max Act: 0.0077. Min Act: -0.0003

Data Index: 1397476 (Python Code)

Max Activating Token Index: 231

Text #5

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Max Act: 0.0077. Min Act: -0.0003

Data Index: 1436884 (Python Code)

Max Activating Token Index: 23

Text #6

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Data Index: 1427429 (Python Code)

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Text #7

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Data Index: 1521468 (Python Code)

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Text #8

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Data Index: 1640080 (Python Code)

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Text #9

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Data Index: 1585085 (Python Code)

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Text #10

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Data Index: 1578772 (Python Code)

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Text #11

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Data Index: 1363723 (Python Code)

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Text #12

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Data Index: 1620911 (Python Code)

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Text #13

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Data Index: 1367558 (Python Code)

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Text #14

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Data Index: 1613462 (Python Code)

Max Activating Token Index: 23

Text #15

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Data Index: 1480219 (Python Code)

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Text #16

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Data Index: 1581668 (Python Code)

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Text #17

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Data Index: 1630615 (Python Code)

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Text #18

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Data Index: 1371619 (Python Code)

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Text #19

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Max Act: 0.0069. Min Act: -0.0003

Data Index: 1566376 (Python Code)

Max Activating Token Index: 754