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

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

Neuron 2046 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: 0.0620. Min Act: -0.0002

Data Index: 991408 (C4 (Web Text))

Max Activating Token Index: 148

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Text #1

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Data Index: 1192807 (C4 (Web Text))

Max Activating Token Index: 955

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Text #2

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 355199 (C4 (Web Text))

Max Activating Token Index: 741

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Text #3

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Data Index: 1114698 (C4 (Web Text))

Max Activating Token Index: 990

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Text #4

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Data Index: 864860 (C4 (Web Text))

Max Activating Token Index: 776

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Text #5

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Data Index: 1077424 (C4 (Web Text))

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Text #6

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Data Index: 1101882 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 824173 (C4 (Web Text))

Max Activating Token Index: 465

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Text #9

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Data Index: 183437 (C4 (Web Text))

Max Activating Token Index: 524

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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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Text #16

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Text #17

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Data Index: 825592 (C4 (Web Text))

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Text #18

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Data Index: 341588 (C4 (Web Text))

Max Activating Token Index: 559

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Text #19

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Data Index: 152533 (C4 (Web Text))

Max Activating Token Index: 173

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