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

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

Neuron 1290 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.1006. Min Range: -0.1006

Max Act: 0.1006. Min Act: -0.0003

Data Index: 1184015 (C4 (Web Text))

Max Activating Token Index: 824

Text #1

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Data Index: 1068044 (C4 (Web Text))

Max Activating Token Index: 452

Text #2

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Data Index: 412292 (C4 (Web Text))

Max Activating Token Index: 344

Text #3

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Max Act: 0.0806. Min Act: -0.0003

Data Index: 947357 (C4 (Web Text))

Max Activating Token Index: 1011

Text #4

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Data Index: 430634 (C4 (Web Text))

Max Activating Token Index: 834

Text #5

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Data Index: 824762 (C4 (Web Text))

Max Activating Token Index: 11

Text #6

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Data Index: 74655 (C4 (Web Text))

Max Activating Token Index: 481

Text #7

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Max Activating Token Index: 719

Text #8

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Data Index: 255622 (C4 (Web Text))

Max Activating Token Index: 263

Text #9

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Data Index: 1221498 (C4 (Web Text))

Max Activating Token Index: 928

Text #10

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Data Index: 654396 (C4 (Web Text))

Max Activating Token Index: 441

Text #11

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Data Index: 1298740 (C4 (Web Text))

Max Activating Token Index: 115

Text #12

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Data Index: 1221975 (C4 (Web Text))

Max Activating Token Index: 128

Text #13

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Data Index: 670640 (C4 (Web Text))

Max Activating Token Index: 105

Text #14

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Data Index: 240523 (C4 (Web Text))

Max Activating Token Index: 755

Text #15

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Data Index: 1320992 (C4 (Web Text))

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Text #16

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Text #17

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Max Activating Token Index: 193

Text #18

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Max Activating Token Index: 1004

Text #19

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Data Index: 964351 (C4 (Web Text))

Max Activating Token Index: 535