Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1623 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0189. Min Range: -0.0189

Max Act: 0.0189. Min Act: -0.0005

Data Index: 1561248 (Python Code)

Max Activating Token Index: 936

Text #1

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1562612 (Python Code)

Max Activating Token Index: 974

Text #2

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1631394 (Python Code)

Max Activating Token Index: 952

Text #3

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1416284 (Python Code)

Max Activating Token Index: 847

Text #4

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Max Act: 0.0181. Min Act: -0.0005

Data Index: 1601317 (Python Code)

Max Activating Token Index: 369

Text #5

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Max Act: 0.0186. Min Act: -0.0005

Data Index: 1417147 (Python Code)

Max Activating Token Index: 760

Text #6

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Data Index: 1374076 (Python Code)

Max Activating Token Index: 738

Text #7

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Data Index: 1402690 (Python Code)

Max Activating Token Index: 263

Text #8

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Data Index: 1468147 (Python Code)

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Text #9

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Max Act: 0.0179. Min Act: -0.0005

Data Index: 1504266 (Python Code)

Max Activating Token Index: 126

Text #10

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Data Index: 1597602 (Python Code)

Max Activating Token Index: 364

Text #11

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Data Index: 1563239 (Python Code)

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Text #12

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Data Index: 1609037 (Python Code)

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Text #13

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Data Index: 1404438 (Python Code)

Max Activating Token Index: 6

Text #14

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Data Index: 1643952 (Python Code)

Max Activating Token Index: 948

Text #15

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Data Index: 1537713 (Python Code)

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Text #16

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Data Index: 1375953 (Python Code)

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Text #17

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Data Index: 1623105 (Python Code)

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Text #18

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Data Index: 850067 (C4 (Web Text))

Max Activating Token Index: 989

Text #19

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Max Act: 0.0168. Min Act: -0.0005

Data Index: 268018 (C4 (Web Text))

Max Activating Token Index: 943