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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 15 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0601. Min Act: -0.0002

Data Index: 374035 (C4 (Web Text))

Max Activating Token Index: 228

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Text #1

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Data Index: 837471 (C4 (Web Text))

Max Activating Token Index: 215

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Truncated

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Text #2

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Data Index: 616055 (C4 (Web Text))

Max Activating Token Index: 495

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Text #3

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Data Index: 52304 (C4 (Web Text))

Max Activating Token Index: 272

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Truncated

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Text #4

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Data Index: 13530 (C4 (Web Text))

Max Activating Token Index: 584

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Truncated

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Text #5

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Data Index: 902759 (C4 (Web Text))

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Text #6

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Data Index: 350584 (C4 (Web Text))

Max Activating Token Index: 262

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Text #7

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Data Index: 1272549 (C4 (Web Text))

Max Activating Token Index: 808

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Truncated

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Text #8

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Data Index: 1171620 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #9

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Data Index: 946424 (C4 (Web Text))

Max Activating Token Index: 358

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Truncated

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Text #10

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Data Index: 851531 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 332840 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 750838 (C4 (Web Text))

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Text #15

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Data Index: 1274434 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 855263 (C4 (Web Text))

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Text #18

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Data Index: 183546 (C4 (Web Text))

Max Activating Token Index: 823

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Text #19

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Data Index: 868753 (C4 (Web Text))

Max Activating Token Index: 1023

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