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

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

Neuron 626 in Layer 0

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

Text #0

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Max Act: 0.0233. Min Act: -0.0002

Data Index: 1576921 (Python Code)

Max Activating Token Index: 415

Text #1

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Max Act: 0.0232. Min Act: -0.0002

Data Index: 1413721 (Python Code)

Max Activating Token Index: 421

Text #2

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Max Act: 0.0216. Min Act: -0.0002

Data Index: 1528219 (Python Code)

Max Activating Token Index: 9

Text #3

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Max Act: 0.0219. Min Act: -0.0002

Data Index: 1653279 (Python Code)

Max Activating Token Index: 3

Text #4

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 1432163 (Python Code)

Max Activating Token Index: 3

Text #5

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Max Act: 0.0216. Min Act: -0.0002

Data Index: 1589641 (Python Code)

Max Activating Token Index: 826

Text #6

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Data Index: 1454731 (Python Code)

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Text #7

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Data Index: 1474071 (Python Code)

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Text #8

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Data Index: 1494537 (Python Code)

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Text #9

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Data Index: 1495084 (Python Code)

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Text #10

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Data Index: 1477850 (Python Code)

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Text #11

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Data Index: 1646168 (Python Code)

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Text #12

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Data Index: 1647830 (Python Code)

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Text #13

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Data Index: 1526938 (Python Code)

Max Activating Token Index: 42

Text #14

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Data Index: 1652758 (Python Code)

Max Activating Token Index: 339

Text #15

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Data Index: 1554499 (Python Code)

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Text #16

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Data Index: 1587218 (Python Code)

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Text #17

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Data Index: 1579518 (Python Code)

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Text #18

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Data Index: 1482602 (Python Code)

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Text #19

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Data Index: 1419718 (Python Code)

Max Activating Token Index: 684