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

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

Neuron 580 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 1133548 (C4 (Web Text))

Max Activating Token Index: 182

Text #1

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Data Index: 642587 (C4 (Web Text))

Max Activating Token Index: 533

Text #2

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Max Act: 0.0853. Min Act: -0.0006

Data Index: 382232 (C4 (Web Text))

Max Activating Token Index: 873

Text #3

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Max Act: 0.0738. Min Act: -0.0006

Data Index: 607711 (C4 (Web Text))

Max Activating Token Index: 653

Text #4

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Data Index: 1187948 (C4 (Web Text))

Max Activating Token Index: 972

Text #5

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Max Activating Token Index: 954

Text #6

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Data Index: 1014101 (C4 (Web Text))

Max Activating Token Index: 106

Text #7

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Max Activating Token Index: 804

Text #8

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Data Index: 11536 (C4 (Web Text))

Max Activating Token Index: 233

Text #9

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Data Index: 786162 (C4 (Web Text))

Max Activating Token Index: 603

Text #10

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Max Activating Token Index: 757

Text #11

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Data Index: 824114 (C4 (Web Text))

Max Activating Token Index: 91

Text #12

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Data Index: 1009877 (C4 (Web Text))

Max Activating Token Index: 737

Text #13

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Data Index: 862477 (C4 (Web Text))

Max Activating Token Index: 763

Text #14

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Max Activating Token Index: 367

Text #15

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Max Activating Token Index: 815

Text #16

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Max Activating Token Index: 91

Text #17

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Data Index: 739418 (C4 (Web Text))

Max Activating Token Index: 145

Text #18

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Max Activating Token Index: 846

Text #19

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Data Index: 452375 (C4 (Web Text))

Max Activating Token Index: 188