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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1720 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0734. Min Act: -0.0001

Data Index: 494147 (C4 (Web Text))

Max Activating Token Index: 209

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Text #1

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Max Act: 0.0622. Min Act: -0.0001

Data Index: 1214386 (C4 (Web Text))

Max Activating Token Index: 840

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Truncated

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Text #2

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Max Act: 0.0555. Min Act: -0.0001

Data Index: 477134 (C4 (Web Text))

Max Activating Token Index: 400

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Text #3

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Max Act: 0.0505. Min Act: -0.0001

Data Index: 311871 (C4 (Web Text))

Max Activating Token Index: 502

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Truncated

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Text #4

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Max Act: 0.0506. Min Act: -0.0001

Data Index: 1478541 (Python Code)

Max Activating Token Index: 430

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Truncated

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Text #5

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Max Act: 0.0488. Min Act: -0.0001

Data Index: 453721 (C4 (Web Text))

Max Activating Token Index: 972

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Text #6

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Data Index: 890180 (C4 (Web Text))

Max Activating Token Index: 245

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Truncated

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Text #7

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Data Index: 984886 (C4 (Web Text))

Max Activating Token Index: 473

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Truncated

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Text #8

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Data Index: 1466913 (Python Code)

Max Activating Token Index: 274

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Text #9

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Data Index: 472390 (C4 (Web Text))

Max Activating Token Index: 806

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Truncated

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Text #10

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Data Index: 733306 (C4 (Web Text))

Max Activating Token Index: 73

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Text #11

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Data Index: 337967 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 834966 (C4 (Web Text))

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Text #13

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Data Index: 1578934 (Python Code)

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Text #14

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Data Index: 411187 (C4 (Web Text))

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Text #15

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Data Index: 218994 (C4 (Web Text))

Max Activating Token Index: 850

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Text #16

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Data Index: 37274 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0461. Min Act: -0.0001

Data Index: 895154 (C4 (Web Text))

Max Activating Token Index: 646

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Text #18

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Max Act: 0.0440. Min Act: -0.0001

Data Index: 1878 (C4 (Web Text))

Max Activating Token Index: 802

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Truncated

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Text #19

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Data Index: 1144249 (C4 (Web Text))

Max Activating Token Index: 103

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