Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 770 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0300. Min Act: -0.0003

Data Index: 1539163 (Python Code)

Max Activating Token Index: 749

Text #1

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Max Act: 0.0282. Min Act: -0.0003

Data Index: 1647744 (Python Code)

Max Activating Token Index: 919

Text #2

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Max Act: 0.0278. Min Act: -0.0003

Data Index: 1387332 (Python Code)

Max Activating Token Index: 675

Text #3

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Max Act: 0.0275. Min Act: -0.0003

Data Index: 1514203 (Python Code)

Max Activating Token Index: 213

Text #4

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Max Act: 0.0275. Min Act: -0.0003

Data Index: 1645684 (Python Code)

Max Activating Token Index: 572

Text #5

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Max Act: 0.0252. Min Act: -0.0003

Data Index: 1650869 (Python Code)

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Text #6

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Data Index: 1364171 (Python Code)

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Text #7

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Data Index: 1463887 (Python Code)

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Text #8

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Data Index: 1406094 (Python Code)

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Text #9

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Max Act: 0.0254. Min Act: -0.0003

Data Index: 1462282 (Python Code)

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Text #10

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Data Index: 1521840 (Python Code)

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Text #11

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Data Index: 1401827 (Python Code)

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Text #12

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Data Index: 1654529 (Python Code)

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Text #13

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Max Act: 0.0259. Min Act: -0.0003

Data Index: 1541945 (Python Code)

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Text #14

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Data Index: 1514142 (Python Code)

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Text #15

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Data Index: 1435473 (Python Code)

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Text #16

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Data Index: 1361510 (Python Code)

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Text #17

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Data Index: 1450647 (Python Code)

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Text #18

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Data Index: 1503388 (Python Code)

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Text #19

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 1529986 (Python Code)

Max Activating Token Index: 559