Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1960 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0351. Min Act: -0.0003

Data Index: 295752 (C4 (Web Text))

Max Activating Token Index: 499

Text #1

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 1561895 (Python Code)

Max Activating Token Index: 875

Text #2

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Max Act: 0.0345. Min Act: -0.0003

Data Index: 1488762 (Python Code)

Max Activating Token Index: 79

Text #3

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Max Act: 0.0336. Min Act: -0.0003

Data Index: 1501036 (Python Code)

Max Activating Token Index: 339

Text #4

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Max Act: 0.0333. Min Act: -0.0003

Data Index: 1375684 (Python Code)

Max Activating Token Index: 392

Text #5

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Data Index: 1386218 (Python Code)

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Text #6

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Data Index: 1427684 (Python Code)

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Text #7

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Data Index: 1587488 (Python Code)

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Text #8

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Data Index: 1650066 (Python Code)

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Text #9

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Data Index: 1400443 (Python Code)

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Text #10

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Data Index: 1576938 (Python Code)

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Text #11

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Text #12

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Data Index: 1606469 (Python Code)

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Text #13

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Data Index: 1507908 (Python Code)

Max Activating Token Index: 118

Text #14

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Data Index: 1568595 (Python Code)

Max Activating Token Index: 547

Text #15

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Data Index: 1432846 (Python Code)

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Text #16

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Data Index: 1645763 (Python Code)

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Text #17

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Data Index: 1607312 (Python Code)

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Text #18

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Data Index: 1392868 (Python Code)

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Text #19

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Data Index: 1609518 (Python Code)

Max Activating Token Index: 664