Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2012 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 1226644 (C4 (Web Text))

Max Activating Token Index: 171

Text #1

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Max Activating Token Index: 874

Text #2

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Max Activating Token Index: 577

Text #3

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Data Index: 836598 (C4 (Web Text))

Max Activating Token Index: 326

Text #4

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Max Activating Token Index: 558

Text #5

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Max Activating Token Index: 337

Text #6

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Max Activating Token Index: 914

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Max Activating Token Index: 120

Text #8

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Max Activating Token Index: 159

Text #9

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Max Activating Token Index: 792

Text #10

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Max Activating Token Index: 95

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Max Activating Token Index: 864

Text #12

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Max Activating Token Index: 350

Text #13

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Max Activating Token Index: 136

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 233

Text #17

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Max Activating Token Index: 148

Text #18

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Max Activating Token Index: 220

Text #19

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Data Index: 439596 (C4 (Web Text))

Max Activating Token Index: 782