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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1228 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.0911. Min Act: -0.0001

Data Index: 81643 (C4 (Web Text))

Max Activating Token Index: 555

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Text #1

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Data Index: 1071394 (C4 (Web Text))

Max Activating Token Index: 22

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Text #2

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Max Act: 0.9527. Min Act: -0.0001

Data Index: 1620470 (Python Code)

Max Activating Token Index: 751

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Text #3

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Max Act: 0.9062. Min Act: -0.0001

Data Index: 730012 (C4 (Web Text))

Max Activating Token Index: 913

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Text #4

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Data Index: 462270 (C4 (Web Text))

Max Activating Token Index: 232

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Text #5

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Data Index: 1512464 (Python Code)

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Text #6

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Data Index: 1177617 (C4 (Web Text))

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Text #7

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Data Index: 1180638 (C4 (Web Text))

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Text #8

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Data Index: 1397277 (Python Code)

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Text #9

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Data Index: 1340294 (C4 (Web Text))

Max Activating Token Index: 439

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Text #10

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Data Index: 777153 (C4 (Web Text))

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Text #11

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Data Index: 165813 (C4 (Web Text))

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Text #12

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Data Index: 474921 (C4 (Web Text))

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Text #13

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Data Index: 182499 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1002605 (C4 (Web Text))

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Text #16

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Data Index: 571490 (C4 (Web Text))

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Text #17

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Data Index: 575472 (C4 (Web Text))

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Text #18

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Data Index: 578606 (C4 (Web Text))

Max Activating Token Index: 651

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Text #19

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Data Index: 790258 (C4 (Web Text))

Max Activating Token Index: 904

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