Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 564 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0287. Min Act: -0.0004

Data Index: 1516168 (Python Code)

Max Activating Token Index: 979

Text #1

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Max Act: 0.0242. Min Act: -0.0004

Data Index: 1362642 (Python Code)

Max Activating Token Index: 788

Text #2

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Max Act: 0.0243. Min Act: -0.0004

Data Index: 1596001 (Python Code)

Max Activating Token Index: 71

Text #3

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Max Act: 0.0239. Min Act: -0.0004

Data Index: 1400875 (Python Code)

Max Activating Token Index: 148

Text #4

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Max Act: 0.0234. Min Act: -0.0004

Data Index: 1529106 (Python Code)

Max Activating Token Index: 64

Text #5

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Max Act: 0.0231. Min Act: -0.0004

Data Index: 1640762 (Python Code)

Max Activating Token Index: 801

Text #6

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Data Index: 1557327 (Python Code)

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Text #7

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Data Index: 1511060 (Python Code)

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Text #8

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Data Index: 1577313 (Python Code)

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Text #9

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Data Index: 1643110 (Python Code)

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Text #10

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Data Index: 1541890 (Python Code)

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Text #11

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Data Index: 1396774 (Python Code)

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Text #12

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Data Index: 1370802 (Python Code)

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Text #13

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Data Index: 1535017 (Python Code)

Max Activating Token Index: 290

Text #14

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Data Index: 1436167 (Python Code)

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Text #15

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Data Index: 1498422 (Python Code)

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Text #16

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Data Index: 1548050 (Python Code)

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Text #17

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Data Index: 1605963 (Python Code)

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Text #18

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Data Index: 1539906 (Python Code)

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Text #19

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Data Index: 105160 (C4 (Web Text))

Max Activating Token Index: 71