Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1145 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0570. Min Range: -0.0570

Max Act: 0.0569. Min Act: -0.0003

Data Index: 1578873 (Python Code)

Max Activating Token Index: 502

Text #1

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Max Act: 0.0562. Min Act: -0.0003

Data Index: 1583475 (Python Code)

Max Activating Token Index: 451

Text #2

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Max Act: 0.0570. Min Act: -0.0003

Data Index: 1474969 (Python Code)

Max Activating Token Index: 274

Text #3

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Max Act: 0.0557. Min Act: -0.0003

Data Index: 1645362 (Python Code)

Max Activating Token Index: 940

Text #4

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Max Act: 0.0548. Min Act: -0.0003

Data Index: 1630345 (Python Code)

Max Activating Token Index: 643

Text #5

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Max Act: 0.0532. Min Act: -0.0003

Data Index: 1447055 (Python Code)

Max Activating Token Index: 806

Text #6

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Data Index: 1596552 (Python Code)

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Text #7

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Data Index: 1604122 (Python Code)

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Text #8

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Data Index: 1493461 (Python Code)

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Text #9

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Data Index: 1628582 (Python Code)

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Text #10

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Data Index: 1391095 (Python Code)

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Text #11

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Data Index: 1456532 (Python Code)

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Text #12

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Data Index: 1584585 (Python Code)

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Text #13

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Data Index: 1450311 (Python Code)

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Text #14

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Data Index: 1551606 (Python Code)

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Text #15

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Data Index: 1525826 (Python Code)

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Text #16

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Data Index: 1634600 (Python Code)

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Text #17

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Data Index: 1427370 (Python Code)

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Text #18

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Data Index: 1572877 (Python Code)

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Text #19

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Max Act: 0.0495. Min Act: -0.0003

Data Index: 1366489 (Python Code)

Max Activating Token Index: 947