Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3080 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 444519 (C4 (Web Text))

Max Activating Token Index: 82

Text #1

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Max Activating Token Index: 1019

Text #2

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Max Activating Token Index: 840

Text #3

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Data Index: 468696 (C4 (Web Text))

Max Activating Token Index: 178

Text #4

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Data Index: 437110 (C4 (Web Text))

Max Activating Token Index: 85

Text #5

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Max Activating Token Index: 851

Text #6

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Max Activating Token Index: 285

Text #7

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Text #8

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Max Activating Token Index: 68

Text #10

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Max Activating Token Index: 133

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Max Activating Token Index: 761

Text #12

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Max Activating Token Index: 87

Text #13

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Max Activating Token Index: 107

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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Max Activating Token Index: 237

Text #19

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Data Index: 641723 (C4 (Web Text))

Max Activating Token Index: 739