Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 911 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0954. Min Act: -0.0003

Data Index: 406152 (C4 (Web Text))

Max Activating Token Index: 427

Text #1

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Text #2

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Max Activating Token Index: 233

Text #3

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Data Index: 615533 (C4 (Web Text))

Max Activating Token Index: 604

Text #4

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Max Activating Token Index: 346

Text #5

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Max Activating Token Index: 98

Text #6

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Text #7

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Text #10

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Max Activating Token Index: 414

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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: 1116633 (C4 (Web Text))

Max Activating Token Index: 386