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

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

Neuron 1005 in Layer 0

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

Text #0

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1599115 (Python Code)

Max Activating Token Index: 56

Text #1

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 1493597 (Python Code)

Max Activating Token Index: 125

Text #2

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1394691 (Python Code)

Max Activating Token Index: 831

Text #3

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 1439434 (Python Code)

Max Activating Token Index: 740

Text #4

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 1550289 (Python Code)

Max Activating Token Index: 790

Text #5

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1512303 (Python Code)

Max Activating Token Index: 233

Text #6

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Data Index: 1436115 (Python Code)

Max Activating Token Index: 24

Text #7

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Data Index: 1558108 (Python Code)

Max Activating Token Index: 515

Text #8

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1654135 (Python Code)

Max Activating Token Index: 489

Text #9

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Data Index: 1546198 (Python Code)

Max Activating Token Index: 544

Text #10

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Data Index: 1480190 (Python Code)

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Text #11

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Data Index: 1468249 (Python Code)

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Text #12

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Data Index: 1556839 (Python Code)

Max Activating Token Index: 265

Text #13

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Data Index: 1367980 (Python Code)

Max Activating Token Index: 124

Text #14

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Data Index: 1592304 (Python Code)

Max Activating Token Index: 723

Text #15

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Data Index: 1503089 (Python Code)

Max Activating Token Index: 421

Text #16

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Data Index: 1440409 (Python Code)

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Text #17

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Data Index: 294555 (C4 (Web Text))

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Text #18

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Data Index: 1394203 (Python Code)

Max Activating Token Index: 134

Text #19

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Data Index: 633250 (C4 (Web Text))

Max Activating Token Index: 21