Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1837 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0363. Min Act: -0.0004

Data Index: 193290 (C4 (Web Text))

Max Activating Token Index: 632

Text #1

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Max Activating Token Index: 120

Text #2

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Max Activating Token Index: 679

Text #3

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Max Act: 0.0398. Min Act: -0.0004

Data Index: 440172 (C4 (Web Text))

Max Activating Token Index: 551

Text #4

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Data Index: 111607 (C4 (Web Text))

Max Activating Token Index: 95

Text #5

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Max Activating Token Index: 228

Text #6

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Text #7

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Text #9

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Text #10

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Text #12

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Text #13

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Max Activating Token Index: 701

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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Text #19

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Data Index: 265409 (C4 (Web Text))

Max Activating Token Index: 85