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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 648 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0899. Min Act: -0.0003

Data Index: 1534439 (Python Code)

Max Activating Token Index: 198

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Text #1

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Max Act: 0.0843. Min Act: -0.0003

Data Index: 1429916 (Python Code)

Max Activating Token Index: 210

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Text #2

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Max Act: 0.0839. Min Act: -0.0003

Data Index: 1392558 (Python Code)

Max Activating Token Index: 784

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Text #3

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Max Act: 0.0815. Min Act: -0.0003

Data Index: 1592403 (Python Code)

Max Activating Token Index: 467

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Text #4

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Data Index: 1612786 (Python Code)

Max Activating Token Index: 226

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Text #5

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Data Index: 1471003 (Python Code)

Max Activating Token Index: 913

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Text #6

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Data Index: 1505617 (Python Code)

Max Activating Token Index: 172

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Text #7

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Data Index: 1613549 (Python Code)

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Text #8

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Data Index: 1368457 (Python Code)

Max Activating Token Index: 547

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Text #9

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Data Index: 1495475 (Python Code)

Max Activating Token Index: 689

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Text #10

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Data Index: 1455204 (Python Code)

Max Activating Token Index: 628

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Text #11

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Data Index: 1558432 (Python Code)

Max Activating Token Index: 564

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Text #12

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Data Index: 1533027 (Python Code)

Max Activating Token Index: 361

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Text #13

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Data Index: 1625304 (Python Code)

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Text #14

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Data Index: 1520526 (Python Code)

Max Activating Token Index: 994

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Text #15

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Data Index: 1424872 (Python Code)

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Text #16

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Data Index: 1487547 (Python Code)

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Text #17

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Data Index: 1531986 (Python Code)

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Text #18

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Data Index: 1586182 (Python Code)

Max Activating Token Index: 994

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Text #19

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Data Index: 1466000 (Python Code)

Max Activating Token Index: 87

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