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

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

Neuron 1462 in Layer 0

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

Text #0

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Max Act: 0.0664. Min Act: -0.0006

Data Index: 1388013 (Python Code)

Max Activating Token Index: 16

Text #1

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Max Act: 0.0663. Min Act: -0.0006

Data Index: 1633267 (Python Code)

Max Activating Token Index: 425

Text #2

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Max Act: 0.0612. Min Act: -0.0005

Data Index: 1563190 (Python Code)

Max Activating Token Index: 502

Text #3

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Max Act: 0.0597. Min Act: -0.0005

Data Index: 1593991 (Python Code)

Max Activating Token Index: 304

Text #4

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Max Act: 0.0587. Min Act: -0.0005

Data Index: 1641693 (Python Code)

Max Activating Token Index: 249

Text #5

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Data Index: 1473551 (Python Code)

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Text #6

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Data Index: 1554508 (Python Code)

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Text #7

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Data Index: 1650462 (Python Code)

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Text #8

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Data Index: 1621642 (Python Code)

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Text #9

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Data Index: 1544495 (Python Code)

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Text #10

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Data Index: 1404447 (Python Code)

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Text #11

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Data Index: 1488277 (Python Code)

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Text #12

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Data Index: 1379523 (Python Code)

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Text #13

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Data Index: 1387846 (Python Code)

Max Activating Token Index: 463

Text #14

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Data Index: 1436296 (Python Code)

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Text #15

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Data Index: 1483788 (Python Code)

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Text #16

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Data Index: 1599756 (Python Code)

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Text #17

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Data Index: 1633496 (Python Code)

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Text #18

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Data Index: 1405724 (Python Code)

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Text #19

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Data Index: 1617406 (Python Code)

Max Activating Token Index: 959