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

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

Neuron 855 in Layer 0

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

Text #0

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1396483 (Python Code)

Max Activating Token Index: 574

Text #1

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 1563844 (Python Code)

Max Activating Token Index: 571

Text #2

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Max Act: 0.0132. Min Act: -0.0005

Data Index: 1464471 (Python Code)

Max Activating Token Index: 466

Text #3

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Max Act: 0.0132. Min Act: -0.0005

Data Index: 1473106 (Python Code)

Max Activating Token Index: 984

Text #4

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Max Act: 0.0126. Min Act: -0.0005

Data Index: 1634972 (Python Code)

Max Activating Token Index: 485

Text #5

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1626862 (Python Code)

Max Activating Token Index: 560

Text #6

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Data Index: 1370180 (Python Code)

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Text #7

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Data Index: 1403286 (Python Code)

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Text #8

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Data Index: 1622612 (Python Code)

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Text #9

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Data Index: 1520564 (Python Code)

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Text #10

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Data Index: 1380931 (Python Code)

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Text #11

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Data Index: 1515734 (Python Code)

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Text #12

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Data Index: 1569668 (Python Code)

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Text #13

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Data Index: 1555015 (Python Code)

Max Activating Token Index: 507

Text #14

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Data Index: 1565979 (Python Code)

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Text #15

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Data Index: 1376953 (Python Code)

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Text #16

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Data Index: 1505904 (Python Code)

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Text #17

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Data Index: 1488562 (Python Code)

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Text #18

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Data Index: 1376279 (Python Code)

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Text #19

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Data Index: 1413314 (Python Code)

Max Activating Token Index: 165