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

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

Neuron 3015 in Layer 2

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

Text #0

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Max Act: 1.2703. Min Act: -0.0002

Data Index: 1527795 (Python Code)

Max Activating Token Index: 444

Text #1

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Max Act: 1.1818. Min Act: -0.0002

Data Index: 1627135 (Python Code)

Max Activating Token Index: 13

Text #2

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Data Index: 1480114 (Python Code)

Max Activating Token Index: 481

Text #3

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Max Act: 1.1233. Min Act: -0.0002

Data Index: 1401983 (Python Code)

Max Activating Token Index: 73

Text #4

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Max Act: 1.1962. Min Act: -0.0002

Data Index: 1490227 (Python Code)

Max Activating Token Index: 77

Text #5

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Max Act: 1.1131. Min Act: -0.0002

Data Index: 1546979 (Python Code)

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Text #6

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Data Index: 1465018 (Python Code)

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Text #7

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Data Index: 1543670 (Python Code)

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Text #8

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Data Index: 1637850 (Python Code)

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Text #9

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Data Index: 1451308 (Python Code)

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Text #10

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Data Index: 1482450 (Python Code)

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Text #11

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Data Index: 1537778 (Python Code)

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Text #12

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Data Index: 1605190 (Python Code)

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Text #13

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Data Index: 1531600 (Python Code)

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Text #14

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Data Index: 1648359 (Python Code)

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Text #15

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Data Index: 1533084 (Python Code)

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Text #16

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Data Index: 1529423 (Python Code)

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Text #17

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Data Index: 1556827 (Python Code)

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Text #18

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Data Index: 1616048 (Python Code)

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Text #19

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Max Act: 0.9782. Min Act: -0.0002

Data Index: 1376060 (Python Code)

Max Activating Token Index: 859