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

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

Neuron 1527 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 254306 (C4 (Web Text))

Max Activating Token Index: 812

Text #1

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Max Activating Token Index: 691

Text #2

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Max Act: 0.0621. Min Act: -0.0003

Data Index: 849377 (C4 (Web Text))

Max Activating Token Index: 774

Text #3

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Max Act: 0.0605. Min Act: -0.0003

Data Index: 220769 (C4 (Web Text))

Max Activating Token Index: 400

Text #4

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Max Act: 0.0599. Min Act: -0.0003

Data Index: 1309627 (C4 (Web Text))

Max Activating Token Index: 919

Text #5

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Data Index: 449453 (C4 (Web Text))

Max Activating Token Index: 1003

Text #6

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Data Index: 14095 (C4 (Web Text))

Max Activating Token Index: 249

Text #7

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Max Activating Token Index: 967

Text #8

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Max Activating Token Index: 642

Text #9

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Max Activating Token Index: 980

Text #10

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Max Activating Token Index: 67

Text #11

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Data Index: 580458 (C4 (Web Text))

Max Activating Token Index: 923

Text #12

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Max Activating Token Index: 57

Text #13

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Data Index: 543954 (C4 (Web Text))

Max Activating Token Index: 590

Text #14

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Max Activating Token Index: 128

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 523

Text #18

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Data Index: 62528 (C4 (Web Text))

Max Activating Token Index: 139

Text #19

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Data Index: 281414 (C4 (Web Text))

Max Activating Token Index: 307