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

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

Neuron 18 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: 1.6875. Min Act: -0.0001

Data Index: 700235 (C4 (Web Text))

Max Activating Token Index: 603

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Text #1

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Data Index: 796302 (C4 (Web Text))

Max Activating Token Index: 979

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Text #2

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Data Index: 729593 (C4 (Web Text))

Max Activating Token Index: 398

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Text #3

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Data Index: 1147180 (C4 (Web Text))

Max Activating Token Index: 368

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Text #4

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Data Index: 425859 (C4 (Web Text))

Max Activating Token Index: 508

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Text #5

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Data Index: 1022929 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 766

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 367

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 676137 (C4 (Web Text))

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Text #19

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Data Index: 214321 (C4 (Web Text))

Max Activating Token Index: 711

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