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

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

Neuron 604 in Layer 0

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

Text #0

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Max Act: 0.0487. Min Act: -0.0002

Data Index: 1626622 (Python Code)

Max Activating Token Index: 10

Text #1

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Max Act: 0.0432. Min Act: -0.0002

Data Index: 1428424 (Python Code)

Max Activating Token Index: 214

Text #2

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 1601294 (Python Code)

Max Activating Token Index: 762

Text #3

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Max Act: 0.0406. Min Act: -0.0002

Data Index: 1602746 (Python Code)

Max Activating Token Index: 109

Text #4

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 1483498 (Python Code)

Max Activating Token Index: 309

Text #5

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Max Act: 0.0402. Min Act: -0.0002

Data Index: 1651388 (Python Code)

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Text #6

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Data Index: 1406118 (Python Code)

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Text #7

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Data Index: 1587747 (Python Code)

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Text #8

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Data Index: 1380557 (Python Code)

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Text #9

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Data Index: 1458099 (Python Code)

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Text #10

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Data Index: 1551016 (Python Code)

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Text #11

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Data Index: 1397605 (Python Code)

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Text #12

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Data Index: 1429192 (Python Code)

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Text #13

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Data Index: 1646909 (Python Code)

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Text #14

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Data Index: 1378984 (Python Code)

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Text #15

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Data Index: 1504255 (Python Code)

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Text #16

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Data Index: 1527498 (Python Code)

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Text #17

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Data Index: 1432276 (Python Code)

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Text #18

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Data Index: 1430386 (Python Code)

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Text #19

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 1583864 (Python Code)

Max Activating Token Index: 837