Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1084 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 180269 (C4 (Web Text))

Max Activating Token Index: 155

Text #1

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Max Activating Token Index: 45

Text #2

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Max Activating Token Index: 895

Text #3

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Max Act: 0.0186. Min Act: -0.0006

Data Index: 644036 (C4 (Web Text))

Max Activating Token Index: 559

Text #4

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Data Index: 176936 (C4 (Web Text))

Max Activating Token Index: 223

Text #5

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Max Activating Token Index: 900

Text #6

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Max Activating Token Index: 808

Text #7

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Max Activating Token Index: 938

Text #8

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Text #9

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Max Activating Token Index: 3

Text #10

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Max Activating Token Index: 673

Text #11

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Max Activating Token Index: 210

Text #12

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Max Activating Token Index: 123

Text #13

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Max Activating Token Index: 642

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 602

Text #18

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Text #19

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Data Index: 1225200 (C4 (Web Text))

Max Activating Token Index: 680