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

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

Neuron 30 in Layer 3

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: 1.0199. Min Act: -0.0001

Data Index: 1430545 (Python Code)

Max Activating Token Index: 566

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Text #1

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Max Act: 0.9326. Min Act: -0.0001

Data Index: 1608233 (Python Code)

Max Activating Token Index: 301

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Text #2

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Max Act: 0.9538. Min Act: -0.0001

Data Index: 1549390 (Python Code)

Max Activating Token Index: 248

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Text #3

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Max Act: 0.9183. Min Act: -0.0001

Data Index: 1527671 (Python Code)

Max Activating Token Index: 460

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Text #4

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Data Index: 1479665 (Python Code)

Max Activating Token Index: 95

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Data Index: 1509458 (Python Code)

Max Activating Token Index: 145

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Data Index: 1600473 (Python Code)

Max Activating Token Index: 454

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Text #7

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Data Index: 1416505 (Python Code)

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Data Index: 1474532 (Python Code)

Max Activating Token Index: 492

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Data Index: 1431649 (Python Code)

Max Activating Token Index: 329

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Text #10

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Data Index: 1527559 (Python Code)

Max Activating Token Index: 878

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Data Index: 1405614 (Python Code)

Max Activating Token Index: 747

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Data Index: 1516472 (Python Code)

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Data Index: 1380947 (Python Code)

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Text #16

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Data Index: 1624928 (Python Code)

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Data Index: 1392255 (Python Code)

Max Activating Token Index: 470

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