Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 16 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0337. Min Act: -0.0005

Data Index: 1444041 (Python Code)

Max Activating Token Index: 1023

Text #1

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Data Index: 1583244 (Python Code)

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Text #2

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Data Index: 1450884 (Python Code)

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Data Index: 1462113 (Python Code)

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Text #4

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Data Index: 1556658 (Python Code)

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Text #5

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Data Index: 1479788 (Python Code)

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Text #6

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Data Index: 1538495 (Python Code)

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Text #10

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Text #12

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Data Index: 1632315 (Python Code)

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Text #13

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Data Index: 1505810 (Python Code)

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Text #14

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Data Index: 1495361 (Python Code)

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1454361 (Python Code)

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