Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1465 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.1284. Min Act: -0.0002

Data Index: 1506240 (Python Code)

Max Activating Token Index: 685

Text #1

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Max Act: 0.1159. Min Act: -0.0003

Data Index: 1388175 (Python Code)

Max Activating Token Index: 803

Text #2

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Max Act: 0.1151. Min Act: -0.0003

Data Index: 1575414 (Python Code)

Max Activating Token Index: 947

Text #3

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Max Act: 0.1123. Min Act: -0.0004

Data Index: 1458815 (Python Code)

Max Activating Token Index: 231

Text #4

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Max Act: 0.1120. Min Act: -0.0003

Data Index: 1629098 (Python Code)

Max Activating Token Index: 760

Text #5

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Max Act: 0.1047. Min Act: -0.0002

Data Index: 1568734 (Python Code)

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Text #6

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Data Index: 1420919 (Python Code)

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Text #7

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Data Index: 1453215 (Python Code)

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Text #8

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Data Index: 1611907 (Python Code)

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Text #9

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Data Index: 1559123 (Python Code)

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Text #10

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Data Index: 1382069 (Python Code)

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Text #11

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Data Index: 1525861 (Python Code)

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Text #12

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Data Index: 1405677 (Python Code)

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Text #13

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Data Index: 1416136 (Python Code)

Max Activating Token Index: 740

Text #14

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Data Index: 1596355 (Python Code)

Max Activating Token Index: 615

Text #15

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Data Index: 1602749 (Python Code)

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Text #16

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Data Index: 1501064 (Python Code)

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Text #17

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Data Index: 1540367 (Python Code)

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Text #18

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Data Index: 1631013 (Python Code)

Max Activating Token Index: 402

Text #19

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Max Act: 0.0884. Min Act: -0.0003

Data Index: 1521921 (Python Code)

Max Activating Token Index: 306