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

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

Neuron 350 in Layer 1

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

Text #0

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Max Act: 0.0554. Min Act: -0.0003

Data Index: 1378842 (Python Code)

Max Activating Token Index: 756

Text #1

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Data Index: 1605911 (Python Code)

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Text #2

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Data Index: 1524684 (Python Code)

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Text #3

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Data Index: 1634375 (Python Code)

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Text #4

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Data Index: 1425229 (Python Code)

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Text #5

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Data Index: 1539944 (Python Code)

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Text #6

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Data Index: 1416350 (Python Code)

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Data Index: 1609163 (Python Code)

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Data Index: 1649381 (Python Code)

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Data Index: 1520073 (Python Code)

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Text #13

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Data Index: 1437870 (Python Code)

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Text #14

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Data Index: 1561403 (Python Code)

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Text #15

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Text #16

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Data Index: 1603197 (Python Code)

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Text #19

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Data Index: 1572693 (Python Code)

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