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

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

Neuron 3379 in Layer 1

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: 506528 (C4 (Web Text))

Max Activating Token Index: 203

Text #1

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Max Activating Token Index: 142

Text #2

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Data Index: 925535 (C4 (Web Text))

Max Activating Token Index: 78

Text #3

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Data Index: 1021236 (C4 (Web Text))

Max Activating Token Index: 821

Text #4

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Max Activating Token Index: 8

Text #5

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Max Activating Token Index: 176

Text #6

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Text #7

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Max Activating Token Index: 744

Text #8

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Max Activating Token Index: 310

Text #9

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Text #10

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Max Activating Token Index: 99

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Max Activating Token Index: 659

Text #12

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Max Activating Token Index: 79

Text #13

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Max Activating Token Index: 913

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 411

Text #17

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Text #18

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Max Activating Token Index: 471

Text #19

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Data Index: 147514 (C4 (Web Text))

Max Activating Token Index: 523