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

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

Neuron 3687 in Layer 4

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: 2.1434. Min Act: -0.0001

Data Index: 1500209 (Python Code)

Max Activating Token Index: 100

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Text #1

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Data Index: 1491747 (Python Code)

Max Activating Token Index: 155

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Max Act: 1.8492. Min Act: -0.0001

Data Index: 1581673 (Python Code)

Max Activating Token Index: 499

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Text #3

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Max Act: 1.5231. Min Act: -0.0001

Data Index: 569203 (C4 (Web Text))

Max Activating Token Index: 1015

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Text #4

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Data Index: 1542100 (Python Code)

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Text #5

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Data Index: 884792 (C4 (Web Text))

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Data Index: 931931 (C4 (Web Text))

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Text #7

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Data Index: 1585939 (Python Code)

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Data Index: 1645642 (Python Code)

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Text #10

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Data Index: 396723 (C4 (Web Text))

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Text #11

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Text #13

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Text #14

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Data Index: 1371627 (Python Code)

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 1536650 (Python Code)

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