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

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

Neuron 416 in Layer 1

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

Text #0

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Max Act: 0.0915. Min Act: -0.0004

Data Index: 1605422 (Python Code)

Max Activating Token Index: 670

Text #1

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Max Act: 0.0819. Min Act: -0.0003

Data Index: 1647843 (Python Code)

Max Activating Token Index: 976

Text #2

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Max Act: 0.0844. Min Act: -0.0003

Data Index: 1595204 (Python Code)

Max Activating Token Index: 603

Text #3

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Max Act: 0.0843. Min Act: -0.0003

Data Index: 1442790 (Python Code)

Max Activating Token Index: 382

Text #4

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Max Act: 0.0828. Min Act: -0.0003

Data Index: 1543159 (Python Code)

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Text #5

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Max Act: 0.0844. Min Act: -0.0004

Data Index: 1386074 (Python Code)

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Text #6

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Data Index: 1589510 (Python Code)

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Text #7

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Data Index: 1592132 (Python Code)

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Text #8

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Data Index: 1509844 (Python Code)

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Text #9

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Data Index: 1577585 (Python Code)

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Text #10

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Data Index: 1604082 (Python Code)

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Text #11

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Data Index: 1518572 (Python Code)

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Text #12

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Data Index: 1455723 (Python Code)

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Text #13

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Data Index: 1465513 (Python Code)

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Text #14

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Data Index: 1553050 (Python Code)

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Text #15

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Data Index: 1567670 (Python Code)

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Text #16

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Data Index: 1397758 (Python Code)

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Text #17

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Data Index: 1381972 (Python Code)

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Text #18

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Data Index: 1512237 (Python Code)

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Text #19

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Data Index: 1641466 (Python Code)

Max Activating Token Index: 894