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

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

Neuron 2005 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

Max Range: 0.0571. Min Range: -0.0571

Max Act: 0.0571. Min Act: -0.0003

Data Index: 951984 (C4 (Web Text))

Max Activating Token Index: 815

Text #1

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 1191396 (C4 (Web Text))

Max Activating Token Index: 102

Text #2

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Max Act: 0.0523. Min Act: -0.0003

Data Index: 60216 (C4 (Web Text))

Max Activating Token Index: 587

Text #3

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Max Act: 0.0515. Min Act: -0.0003

Data Index: 759994 (C4 (Web Text))

Max Activating Token Index: 156

Text #4

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Max Act: 0.0518. Min Act: -0.0004

Data Index: 782361 (C4 (Web Text))

Max Activating Token Index: 259

Text #5

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Max Act: 0.0479. Min Act: -0.0003

Data Index: 1279690 (C4 (Web Text))

Max Activating Token Index: 811

Text #6

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Max Activating Token Index: 366

Text #7

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Data Index: 314090 (C4 (Web Text))

Max Activating Token Index: 36

Text #8

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Data Index: 56476 (C4 (Web Text))

Max Activating Token Index: 983

Text #9

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Data Index: 537304 (C4 (Web Text))

Max Activating Token Index: 556

Text #10

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Max Activating Token Index: 186

Text #11

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Max Activating Token Index: 495

Text #12

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Max Activating Token Index: 126

Text #13

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Data Index: 844559 (C4 (Web Text))

Max Activating Token Index: 841

Text #14

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Max Activating Token Index: 357

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 409

Text #18

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Data Index: 314614 (C4 (Web Text))

Max Activating Token Index: 305

Text #19

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Data Index: 1242202 (C4 (Web Text))

Max Activating Token Index: 795