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

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

Neuron 1917 in Layer 3

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: 0.0517. Min Act: -0.0002

Data Index: 1551146 (Python Code)

Max Activating Token Index: 930

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Text #1

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Data Index: 1514663 (Python Code)

Max Activating Token Index: 793

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Text #2

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Max Act: 0.0458. Min Act: -0.0001

Data Index: 936345 (C4 (Web Text))

Max Activating Token Index: 898

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Text #3

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Data Index: 1651998 (Python Code)

Max Activating Token Index: 769

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Data Index: 1490245 (Python Code)

Max Activating Token Index: 370

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Text #5

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Data Index: 1631687 (Python Code)

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Data Index: 1606376 (Python Code)

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Text #7

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Data Index: 1417205 (Python Code)

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Text #8

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Data Index: 1425608 (Python Code)

Max Activating Token Index: 791

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Text #9

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Data Index: 1599215 (Python Code)

Max Activating Token Index: 762

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Text #10

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Text #14

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Text #15

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Max Activating Token Index: 381

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Text #16

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Text #17

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Data Index: 1609896 (Python Code)

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Text #18

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Text #19

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Data Index: 1587110 (Python Code)

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