Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 5085 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0308. Min Act: -0.0000

Data Index: 1558822 (Python Code)

Max Activating Token Index: 498

Text #1

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Max Act: 0.0295. Min Act: -0.0000

Data Index: 1408029 (Python Code)

Max Activating Token Index: 893

Text #2

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Max Act: 0.0254. Min Act: -0.0000

Data Index: 1373437 (Python Code)

Max Activating Token Index: 867

Text #3

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Max Act: 0.0257. Min Act: -0.0000

Data Index: 1586174 (Python Code)

Max Activating Token Index: 950

Text #4

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Max Act: 0.0249. Min Act: -0.0000

Data Index: 1529242 (Python Code)

Max Activating Token Index: 624

Text #5

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Max Act: 0.0234. Min Act: -0.0000

Data Index: 687074 (C4 (Web Text))

Max Activating Token Index: 842

Text #6

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Data Index: 1471508 (Python Code)

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Text #7

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Data Index: 1525883 (Python Code)

Max Activating Token Index: 953

Text #8

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Data Index: 1001585 (C4 (Web Text))

Max Activating Token Index: 928

Text #9

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Data Index: 1398447 (Python Code)

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Text #10

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Data Index: 1499884 (Python Code)

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Text #11

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Data Index: 1496427 (Python Code)

Max Activating Token Index: 853

Text #12

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Data Index: 244817 (C4 (Web Text))

Max Activating Token Index: 369

Text #13

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Data Index: 1529941 (Python Code)

Max Activating Token Index: 856

Text #14

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Data Index: 1567370 (Python Code)

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Text #15

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Data Index: 1415320 (Python Code)

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Text #16

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Data Index: 325258 (C4 (Web Text))

Max Activating Token Index: 557

Text #17

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Data Index: 777711 (C4 (Web Text))

Max Activating Token Index: 931

Text #18

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Data Index: 92928 (C4 (Web Text))

Max Activating Token Index: 795

Text #19

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Data Index: 588698 (C4 (Web Text))

Max Activating Token Index: 885