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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1594 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.0617. Min Act: -0.0001

Data Index: 397572 (C4 (Web Text))

Max Activating Token Index: 693

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Text #1

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Data Index: 404919 (C4 (Web Text))

Max Activating Token Index: 82

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Text #2

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Max Act: 1.0373. Min Act: -0.0001

Data Index: 716932 (C4 (Web Text))

Max Activating Token Index: 570

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Text #3

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Data Index: 591242 (C4 (Web Text))

Max Activating Token Index: 995

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Text #4

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Data Index: 664002 (C4 (Web Text))

Max Activating Token Index: 720

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Text #5

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Data Index: 1201452 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 649213 (C4 (Web Text))

Max Activating Token Index: 449

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Text #9

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Data Index: 1605299 (Python Code)

Max Activating Token Index: 35

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Text #10

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Data Index: 482221 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 946705 (C4 (Web Text))

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Text #15

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Data Index: 393822 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 257597 (C4 (Web Text))

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Text #18

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Data Index: 784449 (C4 (Web Text))

Max Activating Token Index: 312

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Text #19

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Data Index: 359420 (C4 (Web Text))

Max Activating Token Index: 583

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