Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1630 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0741. Min Act: -0.0003

Data Index: 1646394 (Python Code)

Max Activating Token Index: 930

Text #1

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Max Act: 0.0711. Min Act: -0.0003

Data Index: 1430570 (Python Code)

Max Activating Token Index: 383

Text #2

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Data Index: 1495235 (Python Code)

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Text #3

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Max Act: 0.0697. Min Act: -0.0003

Data Index: 1594979 (Python Code)

Max Activating Token Index: 109

Text #4

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Max Act: 0.0702. Min Act: -0.0003

Data Index: 1450513 (Python Code)

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Text #5

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Data Index: 1458550 (Python Code)

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Text #6

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Data Index: 1458793 (Python Code)

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Text #7

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Data Index: 1443706 (Python Code)

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Text #8

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Data Index: 1625103 (Python Code)

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Text #9

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Data Index: 1379397 (Python Code)

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Data Index: 1565927 (Python Code)

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Data Index: 1507271 (Python Code)

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Text #12

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Data Index: 1470088 (Python Code)

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Text #13

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Data Index: 1551888 (Python Code)

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Text #14

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Data Index: 1479688 (Python Code)

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Text #15

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Data Index: 1424917 (Python Code)

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Text #16

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Data Index: 1524121 (Python Code)

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Text #17

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Data Index: 1483161 (Python Code)

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Text #18

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Data Index: 1376764 (Python Code)

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Text #19

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Data Index: 1393822 (Python Code)

Max Activating Token Index: 397