Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1087 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0542. Min Act: -0.0002

Data Index: 1474104 (Python Code)

Max Activating Token Index: 504

Text #1

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Max Act: 0.0438. Min Act: -0.0003

Data Index: 1563236 (Python Code)

Max Activating Token Index: 573

Text #2

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Max Act: 0.0460. Min Act: -0.0001

Data Index: 1540536 (Python Code)

Max Activating Token Index: 891

Text #3

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Max Act: 0.0447. Min Act: -0.0002

Data Index: 1389660 (Python Code)

Max Activating Token Index: 279

Text #4

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 1629979 (Python Code)

Max Activating Token Index: 278

Text #5

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Data Index: 1539313 (Python Code)

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Text #6

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Data Index: 1519091 (Python Code)

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Text #7

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Data Index: 1527989 (Python Code)

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Text #8

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Data Index: 1607105 (Python Code)

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Text #9

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Data Index: 1425766 (Python Code)

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Text #10

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Data Index: 1405298 (Python Code)

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Data Index: 1396128 (Python Code)

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Text #12

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Data Index: 1544928 (Python Code)

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Text #13

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Data Index: 1488029 (Python Code)

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Text #14

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Data Index: 1598075 (Python Code)

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Text #15

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Data Index: 1422300 (Python Code)

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Text #16

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Data Index: 1438118 (Python Code)

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Text #17

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Data Index: 1376662 (Python Code)

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Text #18

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Data Index: 1394928 (Python Code)

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Text #19

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Data Index: 1557031 (Python Code)

Max Activating Token Index: 414