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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4301 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.3847. Min Act: -0.0000

Data Index: 722753 (C4 (Web Text))

Max Activating Token Index: 306

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Text #1

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Max Act: 0.3259. Min Act: -0.0000

Data Index: 1468208 (Python Code)

Max Activating Token Index: 577

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Text #2

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Max Act: 0.3454. Min Act: -0.0000

Data Index: 1564237 (Python Code)

Max Activating Token Index: 166

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Text #3

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Data Index: 1648687 (Python Code)

Max Activating Token Index: 500

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Text #4

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Data Index: 1410215 (Python Code)

Max Activating Token Index: 741

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Text #5

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Data Index: 1484776 (Python Code)

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Text #6

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Data Index: 1655864 (Python Code)

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Text #7

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Data Index: 1594528 (Python Code)

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Text #8

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Data Index: 1418215 (Python Code)

Max Activating Token Index: 54

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Text #9

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Data Index: 1489743 (Python Code)

Max Activating Token Index: 548

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Text #10

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Data Index: 1480928 (Python Code)

Max Activating Token Index: 711

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Text #11

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Data Index: 1422580 (Python Code)

Max Activating Token Index: 120

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Text #12

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Data Index: 1553808 (Python Code)

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Text #13

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Data Index: 1519491 (Python Code)

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Text #14

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Data Index: 1594209 (Python Code)

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Text #15

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Data Index: 440713 (C4 (Web Text))

Max Activating Token Index: 517

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Text #16

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Data Index: 1402641 (Python Code)

Max Activating Token Index: 434

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Text #17

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Data Index: 1624660 (Python Code)

Max Activating Token Index: 117

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Text #18

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Data Index: 1436851 (Python Code)

Max Activating Token Index: 567

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Text #19

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Data Index: 1423108 (Python Code)

Max Activating Token Index: 102

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