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

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

Neuron 1938 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 0.0228. Min Act: -0.0005

Data Index: 1519844 (Python Code)

Max Activating Token Index: 587

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Text #1

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Data Index: 1160875 (C4 (Web Text))

Max Activating Token Index: 339

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Text #2

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Max Act: 0.0229. Min Act: -0.0005

Data Index: 1168103 (C4 (Web Text))

Max Activating Token Index: 179

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Text #3

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Data Index: 1404469 (Python Code)

Max Activating Token Index: 802

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Text #4

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Data Index: 210048 (C4 (Web Text))

Max Activating Token Index: 561

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Text #5

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Data Index: 117028 (C4 (Web Text))

Max Activating Token Index: 466

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Text #6

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Data Index: 783779 (C4 (Web Text))

Max Activating Token Index: 348

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Text #7

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Data Index: 446454 (C4 (Web Text))

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Text #8

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Data Index: 1070996 (C4 (Web Text))

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Text #9

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Data Index: 543660 (C4 (Web Text))

Max Activating Token Index: 39

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Text #10

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Data Index: 907137 (C4 (Web Text))

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Text #11

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Data Index: 56497 (C4 (Web Text))

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Text #12

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Data Index: 539071 (C4 (Web Text))

Max Activating Token Index: 964

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Text #13

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Text #14

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Data Index: 35133 (C4 (Web Text))

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Text #15

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Data Index: 144571 (C4 (Web Text))

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Text #16

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Data Index: 187758 (C4 (Web Text))

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Text #17

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Data Index: 1289614 (C4 (Web Text))

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Text #18

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Data Index: 159355 (C4 (Web Text))

Max Activating Token Index: 481

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Text #19

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Data Index: 853817 (C4 (Web Text))

Max Activating Token Index: 220

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