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

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

Neuron 4093 in Layer 4

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: 0.1784. Min Act: -0.0001

Data Index: 804393 (C4 (Web Text))

Max Activating Token Index: 107

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Text #1

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Max Act: 0.1667. Min Act: -0.0001

Data Index: 516448 (C4 (Web Text))

Max Activating Token Index: 495

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Truncated

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Text #2

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Max Act: 0.1511. Min Act: -0.0001

Data Index: 331377 (C4 (Web Text))

Max Activating Token Index: 166

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Text #3

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Max Act: 0.1445. Min Act: -0.0001

Data Index: 1110595 (C4 (Web Text))

Max Activating Token Index: 930

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Truncated

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Text #4

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Data Index: 689989 (C4 (Web Text))

Max Activating Token Index: 627

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Truncated

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Text #5

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Data Index: 391350 (C4 (Web Text))

Max Activating Token Index: 401

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Text #6

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Data Index: 1233614 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 157997 (C4 (Web Text))

Max Activating Token Index: 888

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Truncated

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Text #8

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Data Index: 71400 (C4 (Web Text))

Max Activating Token Index: 236

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Text #9

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Data Index: 1160684 (C4 (Web Text))

Max Activating Token Index: 603

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Text #10

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Data Index: 1190229 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 901150 (C4 (Web Text))

Max Activating Token Index: 454

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Truncated

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Text #14

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Data Index: 983499 (C4 (Web Text))

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Text #15

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Data Index: 279080 (C4 (Web Text))

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Text #16

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Data Index: 1328926 (C4 (Web Text))

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Text #17

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Max Act: 0.1332. Min Act: -0.0001

Data Index: 696983 (C4 (Web Text))

Max Activating Token Index: 244

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Text #18

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Max Act: 0.1148. Min Act: -0.0001

Data Index: 499228 (C4 (Web Text))

Max Activating Token Index: 325

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Text #19

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Data Index: 107706 (C4 (Web Text))

Max Activating Token Index: 1014

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