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

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

Neuron 1919 in Layer 0

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

Text #0

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Max Act: 0.0088. Min Act: -0.0004

Data Index: 1363261 (Python Code)

Max Activating Token Index: 471

Text #1

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1368054 (Python Code)

Max Activating Token Index: 852

Text #2

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1486255 (Python Code)

Max Activating Token Index: 812

Text #3

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Max Act: 0.0084. Min Act: -0.0004

Data Index: 1515601 (Python Code)

Max Activating Token Index: 260

Text #4

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 245259 (C4 (Web Text))

Max Activating Token Index: 197

Text #5

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Max Act: 0.0081. Min Act: -0.0004

Data Index: 1424487 (Python Code)

Max Activating Token Index: 333

Text #6

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Data Index: 1640771 (Python Code)

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Text #7

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Data Index: 1427712 (Python Code)

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Text #8

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Data Index: 1506297 (Python Code)

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Text #9

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Max Act: 0.0080. Min Act: -0.0004

Data Index: 420587 (C4 (Web Text))

Max Activating Token Index: 12

Text #10

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Data Index: 1444264 (Python Code)

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Text #11

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Data Index: 1497281 (Python Code)

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Text #12

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Data Index: 1466346 (Python Code)

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Text #13

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Data Index: 373464 (C4 (Web Text))

Max Activating Token Index: 70

Text #14

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Data Index: 315523 (C4 (Web Text))

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Text #15

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Data Index: 1611780 (Python Code)

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Text #16

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Text #17

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Data Index: 1371103 (Python Code)

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Text #18

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Data Index: 1488979 (Python Code)

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Text #19

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Max Act: 0.0075. Min Act: -0.0005

Data Index: 658739 (C4 (Web Text))

Max Activating Token Index: 482