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

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

Neuron 470 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

Max Range: 0.1016. Min Range: -0.1016

Max Act: 0.1002. Min Act: -0.0001

Data Index: 1316915 (C4 (Web Text))

Max Activating Token Index: 410

Text #1

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Max Activating Token Index: 652

Text #2

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Max Activating Token Index: 842

Text #3

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Data Index: 1050238 (C4 (Web Text))

Max Activating Token Index: 843

Text #4

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Data Index: 1161366 (C4 (Web Text))

Max Activating Token Index: 708

Text #5

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Data Index: 753937 (C4 (Web Text))

Max Activating Token Index: 1015

Text #6

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Data Index: 1073746 (C4 (Web Text))

Max Activating Token Index: 460

Text #7

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Max Activating Token Index: 971

Text #8

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Max Activating Token Index: 718

Text #9

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Data Index: 1127965 (C4 (Web Text))

Max Activating Token Index: 487

Text #10

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Data Index: 733008 (C4 (Web Text))

Max Activating Token Index: 401

Text #11

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Data Index: 754913 (C4 (Web Text))

Max Activating Token Index: 207

Text #12

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Max Activating Token Index: 1020

Text #13

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Data Index: 883805 (C4 (Web Text))

Max Activating Token Index: 784

Text #14

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Data Index: 188766 (C4 (Web Text))

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Text #15

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Data Index: 1099810 (C4 (Web Text))

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Text #16

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Data Index: 958064 (C4 (Web Text))

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Text #17

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Text #18

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Data Index: 1015875 (C4 (Web Text))

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Text #19

Max Range: 0.1016. Min Range: -0.1016

Max Act: 0.0815. Min Act: -0.0001

Data Index: 1288227 (C4 (Web Text))

Max Activating Token Index: 668