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

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

Neuron 3429 in Layer 3

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: 0.0323. Min Act: -0.0001

Data Index: 717025 (C4 (Web Text))

Max Activating Token Index: 243

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Text #1

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Max Act: 0.0291. Min Act: -0.0001

Data Index: 435073 (C4 (Web Text))

Max Activating Token Index: 409

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Truncated

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Text #2

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Max Act: 0.0249. Min Act: -0.0001

Data Index: 1212369 (C4 (Web Text))

Max Activating Token Index: 200

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Text #3

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Data Index: 1001845 (C4 (Web Text))

Max Activating Token Index: 434

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Truncated

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Text #4

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Data Index: 1229264 (C4 (Web Text))

Max Activating Token Index: 18

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Text #5

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Max Act: 0.0251. Min Act: -0.0001

Data Index: 900664 (C4 (Web Text))

Max Activating Token Index: 463

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Text #6

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Data Index: 331970 (C4 (Web Text))

Max Activating Token Index: 995

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Truncated

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Text #7

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Data Index: 294354 (C4 (Web Text))

Max Activating Token Index: 923

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Truncated

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Text #8

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Data Index: 1035608 (C4 (Web Text))

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Text #9

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Data Index: 1071971 (C4 (Web Text))

Max Activating Token Index: 835

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Text #10

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Data Index: 1015104 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1333346 (C4 (Web Text))

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Text #13

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Data Index: 57668 (C4 (Web Text))

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Text #14

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Data Index: 571016 (C4 (Web Text))

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Text #15

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Data Index: 1037857 (C4 (Web Text))

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Text #16

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Data Index: 1419707 (Python Code)

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Text #17

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Data Index: 1400614 (Python Code)

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Text #18

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Data Index: 89234 (C4 (Web Text))

Max Activating Token Index: 931

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Truncated

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Text #19

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Data Index: 551966 (C4 (Web Text))

Max Activating Token Index: 185

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