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

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

Neuron 5090 in Layer 4

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: 110528 (C4 (Web Text))

Max Activating Token Index: 30

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Text #1

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Data Index: 1268464 (C4 (Web Text))

Max Activating Token Index: 885

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Text #2

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Data Index: 959793 (C4 (Web Text))

Max Activating Token Index: 691

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Text #3

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Text #4

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Data Index: 586883 (C4 (Web Text))

Max Activating Token Index: 741

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Text #5

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 713908 (C4 (Web Text))

Max Activating Token Index: 1017

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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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Data Index: 88342 (C4 (Web Text))

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Text #18

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Data Index: 274252 (C4 (Web Text))

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Text #19

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Data Index: 526378 (C4 (Web Text))

Max Activating Token Index: 843

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