Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3597 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.1706. Min Range: -0.1706

Max Act: 0.1612. Min Act: -0.0001

Data Index: 1520803 (Python Code)

Max Activating Token Index: 703

Text #1

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Max Act: 0.1556. Min Act: -0.0001

Data Index: 1559020 (Python Code)

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Text #2

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Max Act: 0.1460. Min Act: -0.0001

Data Index: 1606506 (Python Code)

Max Activating Token Index: 732

Text #3

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Max Act: 0.1494. Min Act: -0.0001

Data Index: 1493481 (Python Code)

Max Activating Token Index: 625

Text #4

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Max Act: 0.1639. Min Act: -0.0001

Data Index: 1638585 (Python Code)

Max Activating Token Index: 989

Text #5

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Max Act: 0.1706. Min Act: -0.0001

Data Index: 1470765 (Python Code)

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Text #6

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Data Index: 1570220 (Python Code)

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Text #7

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Data Index: 1469354 (Python Code)

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Text #8

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Data Index: 1361134 (Python Code)

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Text #9

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Max Act: 0.1466. Min Act: -0.0001

Data Index: 1468820 (Python Code)

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Text #10

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Data Index: 1477863 (Python Code)

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Text #11

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Data Index: 1586683 (Python Code)

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Text #12

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Data Index: 1408967 (Python Code)

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Text #13

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Data Index: 1590879 (Python Code)

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Text #14

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Data Index: 1538432 (Python Code)

Max Activating Token Index: 521

Text #15

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Data Index: 1462883 (Python Code)

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Text #16

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Data Index: 1491878 (Python Code)

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Text #17

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Data Index: 1449239 (Python Code)

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Text #18

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Data Index: 1437962 (Python Code)

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Text #19

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Max Act: 0.1488. Min Act: -0.0001

Data Index: 1649532 (Python Code)

Max Activating Token Index: 908