Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1876 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0133. Min Act: -0.0005

Data Index: 1524264 (Python Code)

Max Activating Token Index: 180

Text #1

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 1619249 (Python Code)

Max Activating Token Index: 990

Text #2

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 1366590 (Python Code)

Max Activating Token Index: 696

Text #3

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 1389625 (Python Code)

Max Activating Token Index: 821

Text #4

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 1627167 (Python Code)

Max Activating Token Index: 283

Text #5

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Max Act: 0.0120. Min Act: -0.0006

Data Index: 1535245 (Python Code)

Max Activating Token Index: 232

Text #6

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Data Index: 1383301 (Python Code)

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Text #7

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Data Index: 1576195 (Python Code)

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Text #8

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Data Index: 1497540 (Python Code)

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Text #9

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Data Index: 1447588 (Python Code)

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Text #10

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Data Index: 1489738 (Python Code)

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Text #11

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Data Index: 1592901 (Python Code)

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Text #12

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Data Index: 1526180 (Python Code)

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Text #13

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Data Index: 1548913 (Python Code)

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Text #14

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Data Index: 1363287 (Python Code)

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Text #15

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Data Index: 1477789 (Python Code)

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Text #16

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Data Index: 1541474 (Python Code)

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Text #17

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Data Index: 1599694 (Python Code)

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Text #18

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Data Index: 1551493 (Python Code)

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Text #19

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Max Act: 0.0117. Min Act: -0.0006

Data Index: 1560969 (Python Code)

Max Activating Token Index: 239