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

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

Neuron 5008 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.0952. Min Range: -0.0952

Max Act: 0.0952. Min Act: -0.0002

Data Index: 1470197 (Python Code)

Max Activating Token Index: 18

Text #1

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Max Act: 0.0819. Min Act: -0.0002

Data Index: 1536126 (Python Code)

Max Activating Token Index: 9

Text #2

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Max Act: 0.0823. Min Act: -0.0002

Data Index: 1428678 (Python Code)

Max Activating Token Index: 14

Text #3

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Max Act: 0.0767. Min Act: -0.0002

Data Index: 1644192 (Python Code)

Max Activating Token Index: 491

Text #4

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Max Act: 0.0624. Min Act: -0.0002

Data Index: 1630590 (Python Code)

Max Activating Token Index: 280

Text #5

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Max Act: 0.0708. Min Act: -0.0002

Data Index: 1384211 (Python Code)

Max Activating Token Index: 70

Text #6

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Data Index: 1526779 (Python Code)

Max Activating Token Index: 245

Text #7

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Data Index: 1559855 (Python Code)

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Text #8

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Data Index: 1438016 (Python Code)

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Text #9

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Data Index: 1478842 (Python Code)

Max Activating Token Index: 224

Text #10

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Data Index: 1548390 (Python Code)

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Text #11

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Data Index: 1528514 (Python Code)

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Text #12

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Data Index: 1494049 (Python Code)

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Text #13

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Data Index: 1568863 (Python Code)

Max Activating Token Index: 838

Text #14

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Data Index: 1612326 (Python Code)

Max Activating Token Index: 70

Text #15

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Data Index: 1449022 (Python Code)

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Text #16

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Data Index: 1652684 (Python Code)

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Text #17

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Data Index: 1488385 (Python Code)

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Text #18

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Data Index: 1635380 (Python Code)

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Text #19

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Max Act: 0.0610. Min Act: -0.0002

Data Index: 1492864 (Python Code)

Max Activating Token Index: 137