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

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

Neuron 433 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 1.2472. Min Act: -0.0001

Data Index: 502045 (C4 (Web Text))

Max Activating Token Index: 581

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Text #1

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Data Index: 835720 (C4 (Web Text))

Max Activating Token Index: 707

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Text #2

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Max Act: 1.2510. Min Act: -0.0001

Data Index: 1431036 (Python Code)

Max Activating Token Index: 757

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Text #3

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Max Act: 1.3027. Min Act: -0.0001

Data Index: 553674 (C4 (Web Text))

Max Activating Token Index: 637

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Text #4

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Data Index: 1553767 (Python Code)

Max Activating Token Index: 825

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Text #5

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Data Index: 824144 (C4 (Web Text))

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Text #6

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Data Index: 888060 (C4 (Web Text))

Max Activating Token Index: 258

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Text #7

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Data Index: 357061 (C4 (Web Text))

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Text #8

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Data Index: 271491 (C4 (Web Text))

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Text #9

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Data Index: 1440159 (Python Code)

Max Activating Token Index: 886

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Text #10

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Data Index: 488862 (C4 (Web Text))

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Text #11

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Data Index: 652249 (C4 (Web Text))

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Text #12

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Data Index: 927556 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 555216 (C4 (Web Text))

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Text #15

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Data Index: 1299024 (C4 (Web Text))

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Text #16

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Data Index: 64556 (C4 (Web Text))

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Text #17

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Data Index: 1355826 (C4 (Web Text))

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Text #18

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Data Index: 1285520 (C4 (Web Text))

Max Activating Token Index: 386

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Text #19

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Data Index: 818664 (C4 (Web Text))

Max Activating Token Index: 399

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