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

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

Neuron 2103 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



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Max Act: 0.0955. Min Act: -0.0001

Data Index: 131113 (C4 (Web Text))

Max Activating Token Index: 244

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Text #1

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Data Index: 1217347 (C4 (Web Text))

Max Activating Token Index: 332

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Text #2

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Data Index: 1221464 (C4 (Web Text))

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Text #3

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Text #4

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Data Index: 470569 (C4 (Web Text))

Max Activating Token Index: 345

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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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Data Index: 1006779 (C4 (Web Text))

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Text #9

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Data Index: 96535 (C4 (Web Text))

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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: 387395 (C4 (Web Text))

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Text #18

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Data Index: 1154776 (C4 (Web Text))

Max Activating Token Index: 57

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Text #19

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Data Index: 191886 (C4 (Web Text))

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