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

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

Neuron 2721 in Layer 2

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: 0.0249. Min Act: -0.0002

Data Index: 792047 (C4 (Web Text))

Max Activating Token Index: 137

Text #1

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Max Activating Token Index: 908

Text #2

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Data Index: 1119738 (C4 (Web Text))

Max Activating Token Index: 256

Text #3

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Data Index: 705700 (C4 (Web Text))

Max Activating Token Index: 166

Text #4

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Data Index: 1201318 (C4 (Web Text))

Max Activating Token Index: 516

Text #5

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Data Index: 302946 (C4 (Web Text))

Max Activating Token Index: 576

Text #6

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Data Index: 41095 (C4 (Web Text))

Max Activating Token Index: 636

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 477

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Text #12

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Max Activating Token Index: 856

Text #13

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Max Activating Token Index: 482

Text #14

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Data Index: 125478 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 841

Text #16

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Text #17

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Max Activating Token Index: 107

Text #18

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Text #19

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Data Index: 873177 (C4 (Web Text))

Max Activating Token Index: 273