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

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

Neuron 1232 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 993000 (C4 (Web Text))

Max Activating Token Index: 965

Text #1

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Max Activating Token Index: 462

Text #2

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Max Activating Token Index: 983

Text #3

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Data Index: 960106 (C4 (Web Text))

Max Activating Token Index: 545

Text #4

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 832846 (C4 (Web Text))

Max Activating Token Index: 178

Text #5

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Max Activating Token Index: 459

Text #6

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Max Activating Token Index: 410

Text #7

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Max Activating Token Index: 720

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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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Max Activating Token Index: 564

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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Max Activating Token Index: 164

Text #19

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Data Index: 619520 (C4 (Web Text))

Max Activating Token Index: 225