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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3086 in Layer 11

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.2211. Min Act: -0.0000

Data Index: 566610 (C4 (Web Text))

Max Activating Token Index: 317

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Text #1

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Max Act: 1.1500. Min Act: -0.0000

Data Index: 1017214 (C4 (Web Text))

Max Activating Token Index: 565

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Text #2

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Max Act: 1.1000. Min Act: 0.0000

Data Index: 468205 (C4 (Web Text))

Max Activating Token Index: 610

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Text #3

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Max Act: 1.0273. Min Act: -0.0000

Data Index: 563361 (C4 (Web Text))

Max Activating Token Index: 663

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Text #4

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Max Act: 1.0108. Min Act: -0.0000

Data Index: 1650499 (Python Code)

Max Activating Token Index: 622

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Text #5

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Max Act: 0.9319. Min Act: -0.0000

Data Index: 101819 (C4 (Web Text))

Max Activating Token Index: 733

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Text #6

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Data Index: 1297828 (C4 (Web Text))

Max Activating Token Index: 236

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Text #7

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Data Index: 208291 (C4 (Web Text))

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Text #8

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Data Index: 782032 (C4 (Web Text))

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Text #9

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Data Index: 733696 (C4 (Web Text))

Max Activating Token Index: 886

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Text #10

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Data Index: 1008981 (C4 (Web Text))

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Text #11

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Data Index: 926457 (C4 (Web Text))

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Text #12

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Data Index: 841300 (C4 (Web Text))

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Text #13

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Data Index: 598960 (C4 (Web Text))

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Text #14

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Data Index: 659973 (C4 (Web Text))

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Text #15

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Data Index: 224599 (C4 (Web Text))

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Text #16

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Data Index: 55370 (C4 (Web Text))

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Text #17

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Max Act: 0.7845. Min Act: -0.0000

Data Index: 1632356 (Python Code)

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Text #18

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Max Act: 0.7874. Min Act: -0.0000

Data Index: 597408 (C4 (Web Text))

Max Activating Token Index: 875

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Text #19

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Max Act: 0.7667. Min Act: -0.0000

Data Index: 804210 (C4 (Web Text))

Max Activating Token Index: 183

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