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

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

Neuron 657 in Layer 1

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

Text #0

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Max Act: 0.0899. Min Act: -0.0003

Data Index: 1555616 (Python Code)

Max Activating Token Index: 487

Text #1

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Max Act: 0.0855. Min Act: -0.0003

Data Index: 1519869 (Python Code)

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Text #2

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Max Act: 0.0808. Min Act: -0.0003

Data Index: 1445537 (Python Code)

Max Activating Token Index: 896

Text #3

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Max Act: 0.0812. Min Act: -0.0003

Data Index: 1372234 (Python Code)

Max Activating Token Index: 312

Text #4

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Max Act: 0.0771. Min Act: -0.0003

Data Index: 1621653 (Python Code)

Max Activating Token Index: 307

Text #5

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Data Index: 1619339 (Python Code)

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Text #6

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Data Index: 1475694 (Python Code)

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Text #7

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Data Index: 1602475 (Python Code)

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Text #8

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Data Index: 1417609 (Python Code)

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Text #9

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Data Index: 1362889 (Python Code)

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Text #10

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Data Index: 1474811 (Python Code)

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Text #11

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Data Index: 1449453 (Python Code)

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Text #12

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Data Index: 1450704 (Python Code)

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Text #13

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Data Index: 1626906 (Python Code)

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Text #14

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Data Index: 1435299 (Python Code)

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Text #15

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Data Index: 1585189 (Python Code)

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Text #16

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Data Index: 1434859 (Python Code)

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Text #17

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Data Index: 1652187 (Python Code)

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Text #18

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Data Index: 1493641 (Python Code)

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Text #19

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Max Act: 0.0736. Min Act: -0.0003

Data Index: 1584476 (Python Code)

Max Activating Token Index: 397