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

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

Neuron 1934 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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Data Index: 348285 (C4 (Web Text))

Max Activating Token Index: 961

Text #1

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Text #2

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Max Activating Token Index: 986

Text #3

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Data Index: 790170 (C4 (Web Text))

Max Activating Token Index: 924

Text #4

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Max Act: 0.0101. Min Act: -0.0001

Data Index: 148302 (C4 (Web Text))

Max Activating Token Index: 899

Text #5

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Max Activating Token Index: 1018

Text #6

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Text #7

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Text #8

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Data Index: 1482777 (Python Code)

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Text #9

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Text #10

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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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Text #18

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Text #19

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Data Index: 187556 (C4 (Web Text))

Max Activating Token Index: 964