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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2269 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 4.5635. Min Act: -0.0001

Data Index: 547960 (C4 (Web Text))

Max Activating Token Index: 621

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Text #1

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Max Act: 4.0735. Min Act: -0.0001

Data Index: 483878 (C4 (Web Text))

Max Activating Token Index: 587

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Text #2

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Max Act: 4.0569. Min Act: -0.0001

Data Index: 818353 (C4 (Web Text))

Max Activating Token Index: 92

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Text #3

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Max Act: 3.9420. Min Act: -0.0001

Data Index: 1617099 (Python Code)

Max Activating Token Index: 394

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Text #4

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Max Act: 4.0742. Min Act: -0.0001

Data Index: 1104734 (C4 (Web Text))

Max Activating Token Index: 857

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Text #5

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Data Index: 186987 (C4 (Web Text))

Max Activating Token Index: 821

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Text #6

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Data Index: 1531960 (Python Code)

Max Activating Token Index: 589

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Text #7

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Data Index: 1046934 (C4 (Web Text))

Max Activating Token Index: 969

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Text #8

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Data Index: 1116838 (C4 (Web Text))

Max Activating Token Index: 483

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Text #9

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Data Index: 343387 (C4 (Web Text))

Max Activating Token Index: 624

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Text #10

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Data Index: 1610896 (Python Code)

Max Activating Token Index: 678

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Text #11

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Data Index: 885336 (C4 (Web Text))

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Text #12

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Data Index: 1027481 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #13

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Data Index: 444466 (C4 (Web Text))

Max Activating Token Index: 443

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Text #14

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Data Index: 124014 (C4 (Web Text))

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Text #15

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Data Index: 112975 (C4 (Web Text))

Max Activating Token Index: 653

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Text #16

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Data Index: 82564 (C4 (Web Text))

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Text #17

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Max Act: 3.7082. Min Act: -0.0001

Data Index: 208983 (C4 (Web Text))

Max Activating Token Index: 855

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Text #18

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Max Act: 3.5542. Min Act: -0.0001

Data Index: 1024886 (C4 (Web Text))

Max Activating Token Index: 1011

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Text #19

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Max Act: 3.3337. Min Act: -0.0001

Data Index: 1042331 (C4 (Web Text))

Max Activating Token Index: 421

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