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

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

Neuron 3083 in Layer 1

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

Text #0

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Max Act: 0.0527. Min Act: -0.0003

Data Index: 1381927 (Python Code)

Max Activating Token Index: 333

Text #1

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 1631809 (Python Code)

Max Activating Token Index: 536

Text #2

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1642452 (Python Code)

Max Activating Token Index: 160

Text #3

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Max Act: 0.0389. Min Act: -0.0003

Data Index: 1573360 (Python Code)

Max Activating Token Index: 168

Text #4

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Max Act: 0.0326. Min Act: -0.0003

Data Index: 1622128 (Python Code)

Max Activating Token Index: 720

Text #5

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 1482928 (Python Code)

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Text #6

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Data Index: 1624561 (Python Code)

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Text #7

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Data Index: 1647139 (Python Code)

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Text #8

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Data Index: 1419177 (Python Code)

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Text #9

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Data Index: 1549803 (Python Code)

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Text #10

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Data Index: 1525799 (Python Code)

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Text #11

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Data Index: 1408277 (Python Code)

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Text #12

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Data Index: 1420490 (Python Code)

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Text #13

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Data Index: 1362639 (Python Code)

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Text #14

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Data Index: 1539255 (Python Code)

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Text #15

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Data Index: 1630573 (Python Code)

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Text #16

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Data Index: 1452969 (Python Code)

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Text #17

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Data Index: 1655416 (Python Code)

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Text #18

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Data Index: 1365815 (Python Code)

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Text #19

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Data Index: 1382914 (Python Code)

Max Activating Token Index: 27