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

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

Neuron 1624 in Layer 1

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

Text #0

Max Range: 0.0703. Min Range: -0.0703

Max Act: 0.0703. Min Act: -0.0003

Data Index: 1553351 (Python Code)

Max Activating Token Index: 177

Text #1

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Max Act: 0.0672. Min Act: -0.0003

Data Index: 1436350 (Python Code)

Max Activating Token Index: 203

Text #2

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Max Act: 0.0658. Min Act: -0.0002

Data Index: 1424470 (Python Code)

Max Activating Token Index: 918

Text #3

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Max Act: 0.0667. Min Act: -0.0003

Data Index: 1482608 (Python Code)

Max Activating Token Index: 173

Text #4

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Max Act: 0.0651. Min Act: -0.0003

Data Index: 1373141 (Python Code)

Max Activating Token Index: 356

Text #5

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Max Act: 0.0651. Min Act: -0.0003

Data Index: 1585447 (Python Code)

Max Activating Token Index: 439

Text #6

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Max Act: 0.0610. Min Act: -0.0003

Data Index: 1380361 (Python Code)

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Text #7

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Data Index: 1492560 (Python Code)

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Text #8

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Data Index: 1556771 (Python Code)

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Text #9

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Max Act: 0.0600. Min Act: -0.0003

Data Index: 1558595 (Python Code)

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Text #10

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Data Index: 1616360 (Python Code)

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Text #11

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Data Index: 1502700 (Python Code)

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Text #12

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Data Index: 1260850 (C4 (Web Text))

Max Activating Token Index: 831

Text #13

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Data Index: 1420949 (Python Code)

Max Activating Token Index: 494

Text #14

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Data Index: 426015 (C4 (Web Text))

Max Activating Token Index: 940

Text #15

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Data Index: 1570537 (Python Code)

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Text #16

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Data Index: 1586186 (Python Code)

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Text #17

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Data Index: 1542562 (Python Code)

Max Activating Token Index: 911

Text #18

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Data Index: 1618918 (Python Code)

Max Activating Token Index: 192

Text #19

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Max Act: 0.0513. Min Act: -0.0003

Data Index: 1364817 (Python Code)

Max Activating Token Index: 416