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

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

Neuron 1936 in Layer 1

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

Text #0

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Max Act: 0.1108. Min Act: -0.0001

Data Index: 1498894 (Python Code)

Max Activating Token Index: 268

Text #1

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Max Act: 0.0932. Min Act: -0.0003

Data Index: 1528142 (Python Code)

Max Activating Token Index: 810

Text #2

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Data Index: 1385591 (Python Code)

Max Activating Token Index: 731

Text #3

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Max Act: 0.0909. Min Act: -0.0001

Data Index: 1470131 (Python Code)

Max Activating Token Index: 872

Text #4

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Max Act: 0.0882. Min Act: -0.0003

Data Index: 1387061 (Python Code)

Max Activating Token Index: 81

Text #5

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Data Index: 1532769 (Python Code)

Max Activating Token Index: 174

Text #6

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Data Index: 1609134 (Python Code)

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Text #7

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Data Index: 1372292 (Python Code)

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Text #8

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Data Index: 1462262 (Python Code)

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Text #9

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Data Index: 1442241 (Python Code)

Max Activating Token Index: 1007

Text #10

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Data Index: 1642684 (Python Code)

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Text #11

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Data Index: 1430233 (Python Code)

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Text #12

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Data Index: 1535965 (Python Code)

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Text #13

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Data Index: 1367131 (Python Code)

Max Activating Token Index: 1005

Text #14

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Data Index: 1395250 (Python Code)

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Text #15

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Data Index: 1398135 (Python Code)

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Text #16

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Data Index: 1414234 (Python Code)

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Text #17

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Data Index: 1626373 (Python Code)

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Text #18

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Data Index: 1405190 (Python Code)

Max Activating Token Index: 485

Text #19

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Data Index: 1431208 (Python Code)

Max Activating Token Index: 616