Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1779 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0916. Min Act: -0.0003

Data Index: 1615433 (Python Code)

Max Activating Token Index: 345

Text #1

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Max Act: 0.0884. Min Act: -0.0004

Data Index: 1524121 (Python Code)

Max Activating Token Index: 331

Text #2

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Max Act: 0.0884. Min Act: -0.0003

Data Index: 1438974 (Python Code)

Max Activating Token Index: 429

Text #3

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Max Act: 0.0860. Min Act: -0.0003

Data Index: 1458597 (Python Code)

Max Activating Token Index: 484

Text #4

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Max Act: 0.0832. Min Act: -0.0003

Data Index: 1538126 (Python Code)

Max Activating Token Index: 110

Text #5

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Data Index: 1578882 (Python Code)

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Text #6

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Data Index: 1532212 (Python Code)

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Text #7

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Data Index: 1629400 (Python Code)

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Text #8

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Data Index: 1432127 (Python Code)

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Text #9

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Data Index: 1464982 (Python Code)

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Text #10

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Data Index: 1450513 (Python Code)

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Text #11

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Data Index: 1458223 (Python Code)

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Text #12

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Data Index: 1609316 (Python Code)

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Text #13

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Data Index: 1544006 (Python Code)

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Text #14

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Data Index: 1610688 (Python Code)

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Text #15

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Data Index: 1497569 (Python Code)

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Text #16

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Data Index: 1620449 (Python Code)

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Text #17

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Data Index: 1585129 (Python Code)

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Text #18

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Data Index: 1389885 (Python Code)

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Text #19

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Data Index: 1377410 (Python Code)

Max Activating Token Index: 545