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

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

Neuron 2527 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0260. Min Act: -0.0002

Data Index: 1446402 (Python Code)

Max Activating Token Index: 1014

Text #1

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Max Act: 0.0228. Min Act: -0.0002

Data Index: 1332025 (C4 (Web Text))

Max Activating Token Index: 235

Text #2

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Max Act: 0.0248. Min Act: -0.0002

Data Index: 1367433 (Python Code)

Max Activating Token Index: 473

Text #3

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Max Act: 0.0239. Min Act: -0.0002

Data Index: 1605984 (Python Code)

Max Activating Token Index: 561

Text #4

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 1407142 (Python Code)

Max Activating Token Index: 217

Text #5

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Data Index: 1439705 (Python Code)

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Text #6

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Data Index: 720291 (C4 (Web Text))

Max Activating Token Index: 929

Text #7

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Data Index: 1559345 (Python Code)

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Text #8

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Data Index: 1474927 (Python Code)

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Text #9

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Text #10

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Data Index: 1586048 (Python Code)

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Text #11

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Max Activating Token Index: 850

Text #12

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Max Activating Token Index: 572

Text #13

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Max Activating Token Index: 906

Text #14

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Max Activating Token Index: 641

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 711

Text #19

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Data Index: 693823 (C4 (Web Text))

Max Activating Token Index: 72