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

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

Neuron 2405 in Layer 7

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 1.1514. Min Range: -1.1514

Max Act: 1.1514. Min Act: -0.0001

Data Index: 442144 (C4 (Web Text))

Max Activating Token Index: 408

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Text #1

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Max Act: 1.0424. Min Act: -0.0001

Data Index: 661669 (C4 (Web Text))

Max Activating Token Index: 414

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Truncated

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Text #2

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Max Act: 0.9129. Min Act: -0.0001

Data Index: 31866 (C4 (Web Text))

Max Activating Token Index: 869

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Text #3

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Max Act: 0.8668. Min Act: -0.0001

Data Index: 419364 (C4 (Web Text))

Max Activating Token Index: 810

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Truncated

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Text #4

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Max Act: 0.8660. Min Act: -0.0001

Data Index: 723949 (C4 (Web Text))

Max Activating Token Index: 964

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Truncated

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Text #5

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Max Act: 0.8489. Min Act: -0.0001

Data Index: 48007 (C4 (Web Text))

Max Activating Token Index: 879

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Text #6

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Max Act: 0.7732. Min Act: -0.0001

Data Index: 216556 (C4 (Web Text))

Max Activating Token Index: 315

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Truncated

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Text #7

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Max Act: 0.8718. Min Act: -0.0001

Data Index: 251798 (C4 (Web Text))

Max Activating Token Index: 824

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Truncated

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Text #8

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Max Act: 0.7860. Min Act: -0.0001

Data Index: 1624155 (Python Code)

Max Activating Token Index: 234

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Text #9

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Max Act: 0.8215. Min Act: -0.0001

Data Index: 319384 (C4 (Web Text))

Max Activating Token Index: 702

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Truncated

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Text #10

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Data Index: 844016 (C4 (Web Text))

Max Activating Token Index: 964

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Truncated

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Text #11

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Data Index: 185996 (C4 (Web Text))

Max Activating Token Index: 983

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Text #12

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Data Index: 759144 (C4 (Web Text))

Max Activating Token Index: 143

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Text #13

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Max Act: 0.7075. Min Act: -0.0001

Data Index: 596971 (C4 (Web Text))

Max Activating Token Index: 410

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Text #14

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Max Act: 0.6834. Min Act: -0.0001

Data Index: 1358996 (C4 (Web Text))

Max Activating Token Index: 669

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Text #15

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Max Act: 0.7513. Min Act: -0.0001

Data Index: 1063897 (C4 (Web Text))

Max Activating Token Index: 496

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Text #16

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Max Act: 0.7092. Min Act: -0.0001

Data Index: 1595619 (Python Code)

Max Activating Token Index: 194

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Text #17

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Max Act: 0.7044. Min Act: -0.0001

Data Index: 132484 (C4 (Web Text))

Max Activating Token Index: 273

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Text #18

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Max Act: 0.7163. Min Act: -0.0001

Data Index: 554770 (C4 (Web Text))

Max Activating Token Index: 912

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Text #19

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Max Act: 0.7005. Min Act: -0.0001

Data Index: 695190 (C4 (Web Text))

Max Activating Token Index: 603

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