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

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

Neuron 1922 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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Data Index: 620559 (C4 (Web Text))

Max Activating Token Index: 384

Text #1

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Max Activating Token Index: 528

Text #2

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Max Act: 0.0618. Min Act: -0.0002

Data Index: 972440 (C4 (Web Text))

Max Activating Token Index: 197

Text #3

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Max Act: 0.0567. Min Act: -0.0002

Data Index: 821699 (C4 (Web Text))

Max Activating Token Index: 782

Text #4

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Max Activating Token Index: 348

Text #5

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Max Activating Token Index: 867

Text #6

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Max Activating Token Index: 84

Text #7

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Text #8

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Max Activating Token Index: 846

Text #9

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Max Activating Token Index: 713

Text #10

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Max Activating Token Index: 120

Text #11

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Max Activating Token Index: 103

Text #12

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Max Activating Token Index: 470

Text #13

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Max Activating Token Index: 315

Text #14

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Max Activating Token Index: 627

Text #15

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Text #16

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Max Activating Token Index: 418

Text #17

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Max Activating Token Index: 106

Text #18

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Max Activating Token Index: 133

Text #19

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Data Index: 215638 (C4 (Web Text))

Max Activating Token Index: 937