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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 480 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0468. Min Act: -0.0001

Data Index: 4927 (C4 (Web Text))

Max Activating Token Index: 556

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Text #1

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Data Index: 927460 (C4 (Web Text))

Max Activating Token Index: 965

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Text #2

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Data Index: 916602 (C4 (Web Text))

Max Activating Token Index: 761

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Text #3

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Data Index: 1446045 (Python Code)

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Text #4

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Data Index: 417725 (C4 (Web Text))

Max Activating Token Index: 450

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Text #5

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Data Index: 1105681 (C4 (Web Text))

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Text #6

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Text #7

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Data Index: 352719 (C4 (Web Text))

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Text #8

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Data Index: 1170378 (C4 (Web Text))

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Text #9

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Data Index: 1006355 (C4 (Web Text))

Max Activating Token Index: 457

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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: 594577 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1500692 (Python Code)

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Text #18

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Data Index: 1267604 (C4 (Web Text))

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Text #19

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Data Index: 395403 (C4 (Web Text))

Max Activating Token Index: 748

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