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

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

Neuron 1877 in Layer 0

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

Text #0

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Max Act: 0.0186. Min Act: -0.0003

Data Index: 1554779 (Python Code)

Max Activating Token Index: 307

Text #1

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1438682 (Python Code)

Max Activating Token Index: 383

Text #2

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Max Act: 0.0184. Min Act: -0.0003

Data Index: 1562384 (Python Code)

Max Activating Token Index: 36

Text #3

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Max Act: 0.0180. Min Act: -0.0003

Data Index: 1385173 (Python Code)

Max Activating Token Index: 373

Text #4

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1599941 (Python Code)

Max Activating Token Index: 341

Text #5

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Max Act: 0.0185. Min Act: -0.0003

Data Index: 1398697 (Python Code)

Max Activating Token Index: 662

Text #6

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Data Index: 1420427 (Python Code)

Max Activating Token Index: 229

Text #7

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Data Index: 1429728 (Python Code)

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Text #8

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Data Index: 1568866 (Python Code)

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Text #9

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Data Index: 1450134 (Python Code)

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Text #10

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Data Index: 1645709 (Python Code)

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Text #11

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Data Index: 1579233 (Python Code)

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Text #12

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Data Index: 1391717 (Python Code)

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Text #13

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Data Index: 1576969 (Python Code)

Max Activating Token Index: 35

Text #14

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Data Index: 1599307 (Python Code)

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Text #15

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Data Index: 1466873 (Python Code)

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Text #16

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Data Index: 1387063 (Python Code)

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Text #17

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Data Index: 1393365 (Python Code)

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Text #18

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Data Index: 1432569 (Python Code)

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Text #19

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Data Index: 1441603 (Python Code)

Max Activating Token Index: 92