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

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

Neuron 2043 in Layer 1

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

Text #0

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Max Act: 0.0612. Min Act: -0.0004

Data Index: 1463424 (Python Code)

Max Activating Token Index: 979

Text #1

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 1642485 (Python Code)

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Text #2

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 1596800 (Python Code)

Max Activating Token Index: 692

Text #3

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Max Act: 0.0535. Min Act: -0.0003

Data Index: 1438505 (Python Code)

Max Activating Token Index: 232

Text #4

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Max Act: 0.0543. Min Act: -0.0003

Data Index: 1507129 (Python Code)

Max Activating Token Index: 483

Text #5

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Data Index: 1365665 (Python Code)

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Text #6

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Data Index: 1395333 (Python Code)

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Text #7

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Data Index: 1573413 (Python Code)

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Text #8

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Data Index: 1507521 (Python Code)

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Data Index: 1476336 (Python Code)

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Text #10

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Data Index: 1433260 (Python Code)

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Data Index: 1629390 (Python Code)

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Text #12

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Data Index: 1513466 (Python Code)

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Text #13

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Data Index: 1511652 (Python Code)

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Text #14

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Data Index: 1464413 (Python Code)

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Text #15

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Data Index: 1603894 (Python Code)

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Text #16

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Data Index: 1464806 (Python Code)

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Text #17

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Data Index: 1634869 (Python Code)

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Text #18

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Data Index: 1490041 (Python Code)

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Text #19

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Data Index: 1453635 (Python Code)

Max Activating Token Index: 971