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

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

Neuron 2037 in Layer 1

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

Text #0

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Max Act: 0.0420. Min Act: -0.0003

Data Index: 1555118 (Python Code)

Max Activating Token Index: 309

Text #1

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 1532428 (Python Code)

Max Activating Token Index: 705

Text #2

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Max Act: 0.0399. Min Act: -0.0003

Data Index: 1619560 (Python Code)

Max Activating Token Index: 197

Text #3

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Max Act: 0.0402. Min Act: -0.0003

Data Index: 1621318 (Python Code)

Max Activating Token Index: 81

Text #4

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Max Act: 0.0356. Min Act: -0.0003

Data Index: 1628755 (Python Code)

Max Activating Token Index: 220

Text #5

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 1636088 (Python Code)

Max Activating Token Index: 801

Text #6

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Data Index: 1430731 (Python Code)

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Text #7

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Data Index: 1368304 (Python Code)

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Text #8

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Data Index: 1382059 (Python Code)

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Text #9

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Data Index: 1552244 (Python Code)

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Text #10

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Data Index: 1618945 (Python Code)

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Data Index: 1628375 (Python Code)

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Text #12

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Data Index: 1363719 (Python Code)

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Text #13

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Data Index: 1505822 (Python Code)

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Text #14

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Data Index: 1524507 (Python Code)

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Text #15

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Data Index: 1476764 (Python Code)

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Text #16

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Data Index: 1363191 (Python Code)

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Text #17

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Data Index: 1422330 (Python Code)

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Text #18

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Data Index: 1407254 (Python Code)

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Text #19

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Data Index: 1558677 (Python Code)

Max Activating Token Index: 156