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

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

Neuron 1470 in Layer 3

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: 237082 (C4 (Web Text))

Max Activating Token Index: 601

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Text #1

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Data Index: 917166 (C4 (Web Text))

Max Activating Token Index: 143

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Text #2

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Data Index: 33013 (C4 (Web Text))

Max Activating Token Index: 517

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Text #3

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Data Index: 617442 (C4 (Web Text))

Max Activating Token Index: 927

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Text #4

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Data Index: 120764 (C4 (Web Text))

Max Activating Token Index: 46

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Text #5

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Data Index: 883146 (C4 (Web Text))

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Text #6

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Data Index: 527289 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1559478 (Python Code)

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Text #9

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Data Index: 870174 (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: 1590241 (Python Code)

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Text #18

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Data Index: 685446 (C4 (Web Text))

Max Activating Token Index: 831

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Text #19

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Data Index: 227924 (C4 (Web Text))

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