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

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

Neuron 1007 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 1.0195. Min Range: -1.0195

Max Act: 1.0039. Min Act: -0.0001

Data Index: 1041431 (C4 (Web Text))

Max Activating Token Index: 138

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Truncated

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Text #1

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Max Act: 1.0195. Min Act: -0.0002

Data Index: 394298 (C4 (Web Text))

Max Activating Token Index: 968

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Truncated

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Text #2

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Max Act: 0.9597. Min Act: -0.0001

Data Index: 1046696 (C4 (Web Text))

Max Activating Token Index: 375

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Text #3

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Max Act: 1.0027. Min Act: -0.0002

Data Index: 967431 (C4 (Web Text))

Max Activating Token Index: 922

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Truncated

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Text #4

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Max Act: 0.9858. Min Act: -0.0001

Data Index: 665747 (C4 (Web Text))

Max Activating Token Index: 695

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Truncated

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Text #5

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Max Act: 0.9716. Min Act: -0.0001

Data Index: 556361 (C4 (Web Text))

Max Activating Token Index: 594

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Text #6

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Data Index: 260508 (C4 (Web Text))

Max Activating Token Index: 553

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Truncated

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Text #7

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Data Index: 621724 (C4 (Web Text))

Max Activating Token Index: 903

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Truncated

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Text #8

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Max Act: 0.9273. Min Act: -0.0001

Data Index: 181546 (C4 (Web Text))

Max Activating Token Index: 140

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Text #9

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Data Index: 654389 (C4 (Web Text))

Max Activating Token Index: 680

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Truncated

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Text #10

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Data Index: 474562 (C4 (Web Text))

Max Activating Token Index: 382

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Truncated

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Text #11

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Max Act: 0.8391. Min Act: -0.0001

Data Index: 1540402 (Python Code)

Max Activating Token Index: 714

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Truncated

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Text #12

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Data Index: 1287970 (C4 (Web Text))

Max Activating Token Index: 540

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Truncated

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Text #13

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Data Index: 1355239 (C4 (Web Text))

Max Activating Token Index: 504

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Truncated

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Text #14

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Data Index: 492100 (C4 (Web Text))

Max Activating Token Index: 675

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Text #15

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Data Index: 1174417 (C4 (Web Text))

Max Activating Token Index: 51

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Text #16

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Data Index: 1439080 (Python Code)

Max Activating Token Index: 648

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Truncated

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Text #17

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Max Act: 0.7471. Min Act: -0.0001

Data Index: 1552683 (Python Code)

Max Activating Token Index: 736

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Text #18

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Max Act: 0.8194. Min Act: -0.0001

Data Index: 410417 (C4 (Web Text))

Max Activating Token Index: 470

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Truncated

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Text #19

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Max Act: 0.8210. Min Act: -0.0002

Data Index: 1022674 (C4 (Web Text))

Max Activating Token Index: 951

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