Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 510 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0300. Min Act: -0.0005

Data Index: 1614503 (Python Code)

Max Activating Token Index: 2

Text #1

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Max Act: 0.0301. Min Act: -0.0005

Data Index: 1471283 (Python Code)

Max Activating Token Index: 3

Text #2

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Data Index: 1597278 (Python Code)

Max Activating Token Index: 3

Text #3

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Max Act: 0.0294. Min Act: -0.0005

Data Index: 1436687 (Python Code)

Max Activating Token Index: 279

Text #4

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Data Index: 1473933 (Python Code)

Max Activating Token Index: 719

Text #5

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Data Index: 1405489 (Python Code)

Max Activating Token Index: 7

Text #6

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Data Index: 1366296 (Python Code)

Max Activating Token Index: 434

Text #7

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Data Index: 1559935 (Python Code)

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Text #8

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Data Index: 1610487 (Python Code)

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Text #9

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Data Index: 1387176 (Python Code)

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Text #10

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Data Index: 1436952 (Python Code)

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Text #11

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Data Index: 1584302 (Python Code)

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Text #12

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Data Index: 1365279 (Python Code)

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Text #13

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Data Index: 1447993 (Python Code)

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Text #14

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Data Index: 1537241 (Python Code)

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Text #15

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Data Index: 1472384 (Python Code)

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Text #16

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Data Index: 1631530 (Python Code)

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Text #17

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Data Index: 1463537 (Python Code)

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Text #18

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Data Index: 1536268 (Python Code)

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Text #19

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Data Index: 1406112 (Python Code)

Max Activating Token Index: 2