Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4136 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0462. Min Act: -0.0001

Data Index: 1466300 (Python Code)

Max Activating Token Index: 1003

Text #1

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Max Act: 0.0438. Min Act: -0.0002

Data Index: 1399390 (Python Code)

Max Activating Token Index: 345

Text #2

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Max Act: 0.0417. Min Act: -0.0002

Data Index: 1607410 (Python Code)

Max Activating Token Index: 108

Text #3

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Max Act: 0.0411. Min Act: -0.0001

Data Index: 1588400 (Python Code)

Max Activating Token Index: 995

Text #4

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Max Act: 0.0407. Min Act: -0.0001

Data Index: 1433173 (Python Code)

Max Activating Token Index: 894

Text #5

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Max Act: 0.0402. Min Act: -0.0002

Data Index: 1458615 (Python Code)

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Text #6

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Data Index: 1534977 (Python Code)

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Text #7

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Data Index: 1439270 (Python Code)

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Text #8

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Data Index: 1390493 (Python Code)

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Text #9

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Data Index: 1567473 (Python Code)

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Text #10

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Data Index: 1375226 (Python Code)

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Text #11

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Data Index: 1441343 (Python Code)

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Text #12

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Data Index: 1460415 (Python Code)

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Text #13

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Data Index: 1533098 (Python Code)

Max Activating Token Index: 599

Text #14

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Data Index: 1428913 (Python Code)

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Text #15

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Data Index: 1366646 (Python Code)

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Text #16

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Data Index: 1420090 (Python Code)

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Text #17

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Data Index: 1522274 (Python Code)

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Text #18

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Data Index: 1576437 (Python Code)

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Text #19

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Data Index: 1655360 (Python Code)

Max Activating Token Index: 561