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

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

Neuron 994 in Layer 1

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

Text #0

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 1456088 (Python Code)

Max Activating Token Index: 587

Text #1

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Max Act: 0.0136. Min Act: -0.0003

Data Index: 1612954 (Python Code)

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Text #2

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Max Act: 0.0130. Min Act: -0.0003

Data Index: 1525442 (Python Code)

Max Activating Token Index: 881

Text #3

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 1543218 (Python Code)

Max Activating Token Index: 672

Text #4

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Max Act: 0.0111. Min Act: -0.0003

Data Index: 1401448 (Python Code)

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Text #5

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Max Act: 0.0106. Min Act: -0.0003

Data Index: 1512402 (Python Code)

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Text #6

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Data Index: 1616120 (Python Code)

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Text #7

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Data Index: 1559528 (Python Code)

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Text #8

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Data Index: 1579132 (Python Code)

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Data Index: 1499200 (Python Code)

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Text #10

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Data Index: 1532337 (Python Code)

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Text #11

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Data Index: 1484778 (Python Code)

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Text #12

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Data Index: 1460122 (Python Code)

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Text #13

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Data Index: 1523182 (Python Code)

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Text #14

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Data Index: 1573783 (Python Code)

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Text #15

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Data Index: 1429365 (Python Code)

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Text #16

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Text #17

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Data Index: 1457349 (Python Code)

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Text #18

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Data Index: 1010166 (C4 (Web Text))

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Text #19

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Data Index: 1553867 (Python Code)

Max Activating Token Index: 968