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

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

Neuron 313 in Layer 1

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

Text #0

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Max Act: 0.0538. Min Act: -0.0002

Data Index: 1627197 (Python Code)

Max Activating Token Index: 304

Text #1

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Data Index: 1419076 (Python Code)

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Text #2

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Data Index: 1555252 (Python Code)

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Text #3

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Max Act: 0.0454. Min Act: -0.0003

Data Index: 1425334 (Python Code)

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Text #4

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Data Index: 1518653 (Python Code)

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Text #5

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Data Index: 1615877 (Python Code)

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Text #6

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Data Index: 1389663 (Python Code)

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Text #7

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Data Index: 1439085 (Python Code)

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Data Index: 1618793 (Python Code)

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Text #9

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Data Index: 1401490 (Python Code)

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Text #10

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Text #12

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Data Index: 1591364 (Python Code)

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Text #13

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Data Index: 1414696 (Python Code)

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Text #14

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Data Index: 1362707 (Python Code)

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Text #15

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Data Index: 1471922 (Python Code)

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Text #16

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Text #17

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Data Index: 1453775 (Python Code)

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Text #18

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Data Index: 1487736 (Python Code)

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Text #19

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Data Index: 1540642 (Python Code)

Max Activating Token Index: 141