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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1480 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



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Data Index: 1457413 (Python Code)

Max Activating Token Index: 282

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Text #1

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Data Index: 1543040 (Python Code)

Max Activating Token Index: 1003

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Text #2

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Data Index: 1524028 (Python Code)

Max Activating Token Index: 907

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Text #3

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Data Index: 834775 (C4 (Web Text))

Max Activating Token Index: 51

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Text #4

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Data Index: 1603071 (Python Code)

Max Activating Token Index: 418

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Text #5

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Data Index: 1512392 (Python Code)

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Data Index: 1376799 (Python Code)

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Text #7

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Data Index: 1473437 (Python Code)

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Text #8

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Data Index: 1558173 (Python Code)

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Text #9

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Data Index: 1208867 (C4 (Web Text))

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Text #10

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Text #11

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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: 1246725 (C4 (Web Text))

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Text #18

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Text #19

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Data Index: 1561978 (Python Code)

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