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

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

Neuron 1686 in Layer 0

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

Text #0

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Max Act: 0.0206. Min Act: -0.0006

Data Index: 1588729 (Python Code)

Max Activating Token Index: 523

Text #1

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Data Index: 1455828 (Python Code)

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Text #2

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Data Index: 1579983 (Python Code)

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Text #3

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Max Act: 0.0163. Min Act: -0.0006

Data Index: 1376285 (Python Code)

Max Activating Token Index: 555

Text #4

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Data Index: 1442340 (Python Code)

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Text #5

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Data Index: 1498799 (Python Code)

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Text #6

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Data Index: 1370967 (Python Code)

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Text #7

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Data Index: 1467053 (Python Code)

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Text #8

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Text #9

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Data Index: 1518748 (Python Code)

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Text #10

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Data Index: 1406161 (Python Code)

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Data Index: 1432186 (Python Code)

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Text #12

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Data Index: 1395202 (Python Code)

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Text #13

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Data Index: 1360710 (Python Code)

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Text #14

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Data Index: 1580966 (Python Code)

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Text #15

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Data Index: 1638026 (Python Code)

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Text #16

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Data Index: 1496041 (Python Code)

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Text #17

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Data Index: 1574339 (Python Code)

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Text #18

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Data Index: 1368224 (Python Code)

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Text #19

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Data Index: 1464879 (Python Code)

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