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

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

Neuron 5025 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: 0.4117. Min Act: -0.0001

Data Index: 1319470 (C4 (Web Text))

Max Activating Token Index: 757

Text #1

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Max Activating Token Index: 155

Text #2

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Max Activating Token Index: 945

Text #3

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Data Index: 313918 (C4 (Web Text))

Max Activating Token Index: 589

Text #4

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Data Index: 280431 (C4 (Web Text))

Max Activating Token Index: 784

Text #5

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Max Activating Token Index: 18

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Data Index: 149483 (C4 (Web Text))

Max Activating Token Index: 88

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Max Activating Token Index: 975

Text #12

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Max Activating Token Index: 62

Text #13

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Max Activating Token Index: 158

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 532

Text #18

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Max Activating Token Index: 387

Text #19

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Data Index: 67719 (C4 (Web Text))

Max Activating Token Index: 453