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

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

Neuron 1649 in Layer 0

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

Text #0

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Max Act: 0.0161. Min Act: -0.0005

Data Index: 1607967 (Python Code)

Max Activating Token Index: 381

Text #1

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Max Act: 0.0146. Min Act: -0.0005

Data Index: 1368472 (Python Code)

Max Activating Token Index: 230

Text #2

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Max Act: 0.0142. Min Act: -0.0005

Data Index: 1629408 (Python Code)

Max Activating Token Index: 14

Text #3

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1475356 (Python Code)

Max Activating Token Index: 33

Text #4

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1437403 (Python Code)

Max Activating Token Index: 503

Text #5

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Max Act: 0.0136. Min Act: -0.0005

Data Index: 1391716 (Python Code)

Max Activating Token Index: 967

Text #6

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Data Index: 1478663 (Python Code)

Max Activating Token Index: 728

Text #7

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Data Index: 1486662 (Python Code)

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Text #8

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Data Index: 1447259 (Python Code)

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Text #9

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Data Index: 1475487 (Python Code)

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Text #10

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Data Index: 1597432 (Python Code)

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Text #11

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Data Index: 1472703 (Python Code)

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Text #12

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Data Index: 1581286 (Python Code)

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Text #13

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Data Index: 1536550 (Python Code)

Max Activating Token Index: 43

Text #14

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Data Index: 1444901 (Python Code)

Max Activating Token Index: 104

Text #15

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Data Index: 1492358 (Python Code)

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Text #16

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Data Index: 1462052 (Python Code)

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Text #17

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Data Index: 1527088 (Python Code)

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Text #18

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Data Index: 1639231 (Python Code)

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Text #19

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 1509268 (Python Code)

Max Activating Token Index: 913