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

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

Neuron 3673 in Layer 1

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

Text #0

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Max Act: 0.1277. Min Act: -0.0003

Data Index: 1618754 (Python Code)

Max Activating Token Index: 911

Text #1

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Max Act: 0.1186. Min Act: -0.0002

Data Index: 1470846 (Python Code)

Max Activating Token Index: 203

Text #2

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Max Act: 0.1158. Min Act: -0.0002

Data Index: 1506913 (Python Code)

Max Activating Token Index: 681

Text #3

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Max Act: 0.1105. Min Act: -0.0002

Data Index: 1432959 (Python Code)

Max Activating Token Index: 15

Text #4

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Max Act: 0.1078. Min Act: -0.0003

Data Index: 1361414 (Python Code)

Max Activating Token Index: 331

Text #5

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Data Index: 1639633 (Python Code)

Max Activating Token Index: 16

Text #6

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Data Index: 1609181 (Python Code)

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Text #7

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Data Index: 1541278 (Python Code)

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Text #8

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Data Index: 1537515 (Python Code)

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Text #9

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Data Index: 1561230 (Python Code)

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Text #10

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Data Index: 1458669 (Python Code)

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Text #11

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Data Index: 1474348 (Python Code)

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Text #12

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Data Index: 1462711 (Python Code)

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Text #13

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Data Index: 1395655 (Python Code)

Max Activating Token Index: 260

Text #14

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Data Index: 1533729 (Python Code)

Max Activating Token Index: 15

Text #15

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Data Index: 1624029 (Python Code)

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Text #16

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Data Index: 1510682 (Python Code)

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Text #17

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Data Index: 1531024 (Python Code)

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Text #18

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Data Index: 1618583 (Python Code)

Max Activating Token Index: 115

Text #19

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Data Index: 1517874 (Python Code)

Max Activating Token Index: 444