Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1240 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0267. Min Act: -0.0005

Data Index: 1408103 (Python Code)

Max Activating Token Index: 543

Text #1

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Max Act: 0.0252. Min Act: -0.0005

Data Index: 1452800 (Python Code)

Max Activating Token Index: 443

Text #2

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Max Act: 0.0191. Min Act: -0.0005

Data Index: 1385330 (Python Code)

Max Activating Token Index: 76

Text #3

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Max Act: 0.0195. Min Act: -0.0005

Data Index: 1502207 (Python Code)

Max Activating Token Index: 9

Text #4

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Max Act: 0.0193. Min Act: -0.0005

Data Index: 1514923 (Python Code)

Max Activating Token Index: 11

Text #5

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Data Index: 1389248 (Python Code)

Max Activating Token Index: 15

Text #6

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Data Index: 1613092 (Python Code)

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Text #7

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Data Index: 1398610 (Python Code)

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Text #8

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Data Index: 1625483 (Python Code)

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Text #9

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Data Index: 1462216 (Python Code)

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Text #10

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Data Index: 1651168 (Python Code)

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Text #11

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Data Index: 1551814 (Python Code)

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Text #12

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Data Index: 1444076 (Python Code)

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Text #13

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Data Index: 1517715 (Python Code)

Max Activating Token Index: 353

Text #14

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Data Index: 1601458 (Python Code)

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Text #15

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Data Index: 1631861 (Python Code)

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Text #16

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Data Index: 1559595 (Python Code)

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Text #17

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Data Index: 1588656 (Python Code)

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Text #18

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Data Index: 1552128 (Python Code)

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Text #19

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Data Index: 1543823 (Python Code)

Max Activating Token Index: 38