Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1430 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0074. Min Range: -0.0074

Max Act: 0.0074. Min Act: -0.0002

Data Index: 1618964 (Python Code)

Max Activating Token Index: 987

Text #1

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1485737 (Python Code)

Max Activating Token Index: 82

Text #2

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1534150 (Python Code)

Max Activating Token Index: 696

Text #3

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 1466473 (Python Code)

Max Activating Token Index: 770

Text #4

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1521682 (Python Code)

Max Activating Token Index: 770

Text #5

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1526501 (Python Code)

Max Activating Token Index: 209

Text #6

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Data Index: 1469913 (Python Code)

Max Activating Token Index: 16

Text #7

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Data Index: 1608982 (Python Code)

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Text #8

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Data Index: 1455550 (Python Code)

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Text #9

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Data Index: 1379515 (Python Code)

Max Activating Token Index: 4

Text #10

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Data Index: 1488207 (Python Code)

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Text #11

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Data Index: 1462942 (Python Code)

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Text #12

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Data Index: 1397250 (Python Code)

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Text #13

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Data Index: 1581349 (Python Code)

Max Activating Token Index: 48

Text #14

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Data Index: 1560439 (Python Code)

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Text #15

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Max Act: 0.0068. Min Act: -0.0002

Data Index: 1584447 (Python Code)

Max Activating Token Index: 1003

Text #16

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Data Index: 1494470 (Python Code)

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Text #17

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Data Index: 1602111 (Python Code)

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Text #18

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Data Index: 1480373 (Python Code)

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Text #19

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 1568169 (Python Code)

Max Activating Token Index: 197