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

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

Neuron 1997 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: 0.0191. Min Act: -0.0002

Data Index: 277683 (C4 (Web Text))

Max Activating Token Index: 806

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Text #1

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 948452 (C4 (Web Text))

Max Activating Token Index: 326

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Truncated

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Text #2

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Max Act: 0.0189. Min Act: -0.0002

Data Index: 1415697 (Python Code)

Max Activating Token Index: 522

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Text #3

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Max Act: 0.0130. Min Act: -0.0003

Data Index: 693667 (C4 (Web Text))

Max Activating Token Index: 234

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Truncated

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Text #4

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 896876 (C4 (Web Text))

Max Activating Token Index: 214

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Text #5

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Data Index: 299621 (C4 (Web Text))

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Text #6

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Data Index: 775034 (C4 (Web Text))

Max Activating Token Index: 981

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Text #7

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Truncated

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Text #8

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Data Index: 216898 (C4 (Web Text))

Max Activating Token Index: 148

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Text #9

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Data Index: 377803 (C4 (Web Text))

Max Activating Token Index: 1022

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Truncated

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Text #10

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Text #11

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Text #12

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Data Index: 1637470 (Python Code)

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Text #13

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Truncated

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Text #14

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Data Index: 1243076 (C4 (Web Text))

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Text #15

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Data Index: 390896 (C4 (Web Text))

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Text #16

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Data Index: 84906 (C4 (Web Text))

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Text #17

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Data Index: 562582 (C4 (Web Text))

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Text #18

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Data Index: 152981 (C4 (Web Text))

Max Activating Token Index: 118

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Text #19

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Data Index: 1326295 (C4 (Web Text))

Max Activating Token Index: 432

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