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

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

Neuron 4989 in Layer 0

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

Text #0

Max Range: 0.0102. Min Range: -0.0102

Max Act: 0.0102. Min Act: -0.0002

Data Index: 1469708 (Python Code)

Max Activating Token Index: 501

Text #1

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1621948 (Python Code)

Max Activating Token Index: 820

Text #2

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1455191 (Python Code)

Max Activating Token Index: 411

Text #3

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1615919 (Python Code)

Max Activating Token Index: 48

Text #4

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Max Act: 0.0095. Min Act: -0.0002

Data Index: 1378251 (Python Code)

Max Activating Token Index: 143

Text #5

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Max Act: 0.0095. Min Act: -0.0002

Data Index: 1525670 (Python Code)

Max Activating Token Index: 604

Text #6

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1403856 (Python Code)

Max Activating Token Index: 7

Text #7

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Data Index: 1515446 (Python Code)

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Text #8

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Data Index: 1524396 (Python Code)

Max Activating Token Index: 207

Text #9

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Max Act: 0.0093. Min Act: -0.0002

Data Index: 1420546 (Python Code)

Max Activating Token Index: 88

Text #10

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Max Act: 0.0095. Min Act: -0.0002

Data Index: 1584806 (Python Code)

Max Activating Token Index: 993

Text #11

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Max Act: 0.0093. Min Act: -0.0002

Data Index: 1636480 (Python Code)

Max Activating Token Index: 134

Text #12

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Data Index: 1640455 (Python Code)

Max Activating Token Index: 20

Text #13

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1499055 (Python Code)

Max Activating Token Index: 115

Text #14

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1458075 (Python Code)

Max Activating Token Index: 72

Text #15

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 1375685 (Python Code)

Max Activating Token Index: 169

Text #16

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Data Index: 1425088 (Python Code)

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Text #17

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Data Index: 1429547 (Python Code)

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Text #18

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 1368783 (Python Code)

Max Activating Token Index: 44

Text #19

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 1574379 (Python Code)

Max Activating Token Index: 31