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

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

Neuron 4422 in Layer 2

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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Data Index: 1225734 (C4 (Web Text))

Max Activating Token Index: 205

Text #1

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Max Activating Token Index: 638

Text #2

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Max Activating Token Index: 590

Text #3

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Data Index: 491103 (C4 (Web Text))

Max Activating Token Index: 847

Text #4

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Max Activating Token Index: 571

Text #5

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Max Activating Token Index: 20

Text #6

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Max Activating Token Index: 1014

Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 491

Text #12

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Max Activating Token Index: 10

Text #13

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Max Activating Token Index: 265

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: 1327358 (C4 (Web Text))

Max Activating Token Index: 669