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

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

Neuron 700 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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Max Act: 1.5942. Min Act: -0.0001

Data Index: 341890 (C4 (Web Text))

Max Activating Token Index: 877

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Text #1

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Data Index: 928484 (C4 (Web Text))

Max Activating Token Index: 442

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Text #2

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Data Index: 707701 (C4 (Web Text))

Max Activating Token Index: 988

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Text #3

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Data Index: 1149664 (C4 (Web Text))

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Text #4

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Data Index: 432524 (C4 (Web Text))

Max Activating Token Index: 455

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Text #5

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Data Index: 395794 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1235709 (C4 (Web Text))

Max Activating Token Index: 868

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Text #9

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Data Index: 1062632 (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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Data Index: 1464187 (Python Code)

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Text #16

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Data Index: 261717 (C4 (Web Text))

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Text #17

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Data Index: 182930 (C4 (Web Text))

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Text #18

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Data Index: 1147576 (C4 (Web Text))

Max Activating Token Index: 943

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Text #19

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Data Index: 1508068 (Python Code)

Max Activating Token Index: 371

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