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

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

Neuron 294 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1558466 (Python Code)

Max Activating Token Index: 1018

Text #1

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 1384949 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 1498733 (Python Code)

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Text #3

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 1642584 (Python Code)

Max Activating Token Index: 92

Text #4

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 1444176 (Python Code)

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Text #5

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Data Index: 1625261 (Python Code)

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Text #6

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Data Index: 1523730 (Python Code)

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Text #7

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Data Index: 1471975 (Python Code)

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Text #8

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Data Index: 1615549 (Python Code)

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Text #9

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Data Index: 1634990 (Python Code)

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Text #10

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Data Index: 1501639 (Python Code)

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Text #11

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Data Index: 1382129 (Python Code)

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Text #12

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Data Index: 1495168 (Python Code)

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Text #13

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Data Index: 1372456 (Python Code)

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Text #14

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Data Index: 1441522 (Python Code)

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Text #15

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Data Index: 1518306 (Python Code)

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Text #16

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Data Index: 1469360 (Python Code)

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Text #17

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Data Index: 1640332 (Python Code)

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Text #18

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Data Index: 1474061 (Python Code)

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Text #19

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Data Index: 1600797 (Python Code)

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