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

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

Neuron 1985 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



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Max Act: 0.0507. Min Act: -0.0001

Data Index: 1276428 (C4 (Web Text))

Max Activating Token Index: 161

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Text #1

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Data Index: 683726 (C4 (Web Text))

Max Activating Token Index: 773

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Text #2

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Max Act: 0.0488. Min Act: -0.0002

Data Index: 901547 (C4 (Web Text))

Max Activating Token Index: 733

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Text #3

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Data Index: 415178 (C4 (Web Text))

Max Activating Token Index: 1004

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Text #4

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Data Index: 390543 (C4 (Web Text))

Max Activating Token Index: 693

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Text #5

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Data Index: 538686 (C4 (Web Text))

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Text #6

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Data Index: 1384634 (Python Code)

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Text #7

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Text #8

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Data Index: 961899 (C4 (Web Text))

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Text #9

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Data Index: 1339260 (C4 (Web Text))

Max Activating Token Index: 232

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Text #10

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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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Text #15

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Data Index: 1333266 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 828168 (C4 (Web Text))

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Text #18

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Data Index: 495140 (C4 (Web Text))

Max Activating Token Index: 500

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Text #19

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Data Index: 960280 (C4 (Web Text))

Max Activating Token Index: 967

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