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

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

Neuron 2530 in Layer 9

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: 0.2359. Min Act: -0.0001

Data Index: 1476922 (Python Code)

Max Activating Token Index: 822

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Text #1

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Max Act: 0.1892. Min Act: -0.0000

Data Index: 1387575 (Python Code)

Max Activating Token Index: 585

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Text #2

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Max Act: 0.1938. Min Act: -0.0000

Data Index: 1224703 (C4 (Web Text))

Max Activating Token Index: 248

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Text #3

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Data Index: 553376 (C4 (Web Text))

Max Activating Token Index: 261

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Text #4

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Data Index: 745071 (C4 (Web Text))

Max Activating Token Index: 511

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Text #5

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Data Index: 1338201 (C4 (Web Text))

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Text #6

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Data Index: 1327311 (C4 (Web Text))

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Text #7

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Data Index: 292023 (C4 (Web Text))

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Text #8

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Data Index: 317780 (C4 (Web Text))

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Text #9

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Data Index: 469210 (C4 (Web Text))

Max Activating Token Index: 566

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Text #10

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Text #11

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Text #12

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Data Index: 69804 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 950404 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 858294 (C4 (Web Text))

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Text #18

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Data Index: 990342 (C4 (Web Text))

Max Activating Token Index: 190

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Text #19

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Data Index: 1344597 (C4 (Web Text))

Max Activating Token Index: 485

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