Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1904 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.1082. Min Act: -0.0001

Data Index: 272133 (C4 (Web Text))

Max Activating Token Index: 955

Text #1

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Max Act: 0.1065. Min Act: -0.0001

Data Index: 216195 (C4 (Web Text))

Max Activating Token Index: 797

Text #2

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Max Act: 0.1125. Min Act: -0.0001

Data Index: 486026 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Max Act: 0.1026. Min Act: -0.0001

Data Index: 78089 (C4 (Web Text))

Max Activating Token Index: 13

Text #4

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Max Act: 0.0942. Min Act: -0.0001

Data Index: 342955 (C4 (Web Text))

Max Activating Token Index: 637

Text #5

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Data Index: 1094537 (C4 (Web Text))

Max Activating Token Index: 609

Text #6

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Max Activating Token Index: 653

Text #7

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Max Activating Token Index: 1015

Text #8

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Max Activating Token Index: 930

Text #9

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Max Activating Token Index: 694

Text #10

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Data Index: 290081 (C4 (Web Text))

Max Activating Token Index: 146

Text #11

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Max Activating Token Index: 478

Text #12

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Max Activating Token Index: 11

Text #13

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Data Index: 453197 (C4 (Web Text))

Max Activating Token Index: 449

Text #14

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Data Index: 615104 (C4 (Web Text))

Max Activating Token Index: 738

Text #15

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Max Activating Token Index: 616

Text #16

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Max Activating Token Index: 876

Text #17

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Data Index: 135538 (C4 (Web Text))

Max Activating Token Index: 166

Text #18

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Data Index: 322328 (C4 (Web Text))

Max Activating Token Index: 921

Text #19

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Max Act: 0.0915. Min Act: -0.0001

Data Index: 615362 (C4 (Web Text))

Max Activating Token Index: 711