Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 555 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0445. Min Act: -0.0005

Data Index: 1438421 (Python Code)

Max Activating Token Index: 17

Text #1

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Max Act: 0.0402. Min Act: -0.0005

Data Index: 1397934 (Python Code)

Max Activating Token Index: 12

Text #2

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Data Index: 1366317 (Python Code)

Max Activating Token Index: 15

Text #3

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Max Act: 0.0373. Min Act: -0.0005

Data Index: 1428372 (Python Code)

Max Activating Token Index: 64

Text #4

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Data Index: 1381037 (Python Code)

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Text #5

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Data Index: 1626772 (Python Code)

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Text #6

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Data Index: 1626966 (Python Code)

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Data Index: 1511551 (Python Code)

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Data Index: 1423656 (Python Code)

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Data Index: 1541154 (Python Code)

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Text #10

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Data Index: 1485880 (Python Code)

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Text #11

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Data Index: 1414038 (Python Code)

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Text #12

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Data Index: 1625988 (Python Code)

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Text #13

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Data Index: 1399779 (Python Code)

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Text #14

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Data Index: 1625745 (Python Code)

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Text #15

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Data Index: 1637980 (Python Code)

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Text #16

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Data Index: 1442094 (Python Code)

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Text #17

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Data Index: 1526697 (Python Code)

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Text #19

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Data Index: 1437396 (Python Code)

Max Activating Token Index: 378