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

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

Neuron 3176 in Layer 0

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

Text #0

Max Range: 0.0093. Min Range: -0.0093

Max Act: 0.0093. Min Act: -0.0002

Data Index: 1583232 (Python Code)

Max Activating Token Index: 87

Text #1

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Max Act: 0.0093. Min Act: -0.0002

Data Index: 1445686 (Python Code)

Max Activating Token Index: 898

Text #2

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Max Act: 0.0092. Min Act: -0.0002

Data Index: 1512242 (Python Code)

Max Activating Token Index: 162

Text #3

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 461742 (C4 (Web Text))

Max Activating Token Index: 466

Text #4

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1393170 (Python Code)

Max Activating Token Index: 940

Text #5

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1608860 (Python Code)

Max Activating Token Index: 924

Text #6

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 1504258 (Python Code)

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Text #7

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Data Index: 1447090 (Python Code)

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Text #8

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Data Index: 1548744 (Python Code)

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Text #9

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Data Index: 1183465 (C4 (Web Text))

Max Activating Token Index: 963

Text #10

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Data Index: 1501691 (Python Code)

Max Activating Token Index: 26

Text #11

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Data Index: 1494779 (Python Code)

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Text #12

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Data Index: 133610 (C4 (Web Text))

Max Activating Token Index: 684

Text #13

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 1452484 (Python Code)

Max Activating Token Index: 776

Text #14

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Data Index: 1489507 (Python Code)

Max Activating Token Index: 14

Text #15

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Data Index: 1432548 (Python Code)

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Text #16

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Data Index: 1631327 (Python Code)

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Text #17

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Data Index: 1515693 (Python Code)

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Text #18

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 1552371 (Python Code)

Max Activating Token Index: 909

Text #19

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 1409327 (Python Code)

Max Activating Token Index: 190