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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2304 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 3.5562. Min Range: -3.5562

Max Act: 3.5150. Min Act: -0.0001

Data Index: 474138 (C4 (Web Text))

Max Activating Token Index: 893

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Text #1

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Data Index: 906790 (C4 (Web Text))

Max Activating Token Index: 741

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Text #2

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Max Act: 3.0982. Min Act: -0.0001

Data Index: 1227773 (C4 (Web Text))

Max Activating Token Index: 207

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Text #3

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Max Act: 3.0063. Min Act: -0.0001

Data Index: 1376901 (Python Code)

Max Activating Token Index: 694

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Text #4

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Max Act: 2.7112. Min Act: -0.0001

Data Index: 584494 (C4 (Web Text))

Max Activating Token Index: 563

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Text #5

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Max Act: 2.8832. Min Act: -0.0001

Data Index: 182200 (C4 (Web Text))

Max Activating Token Index: 359

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Text #6

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Data Index: 55496 (C4 (Web Text))

Max Activating Token Index: 586

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Text #7

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Data Index: 1343590 (C4 (Web Text))

Max Activating Token Index: 435

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Text #8

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Data Index: 262235 (C4 (Web Text))

Max Activating Token Index: 342

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Text #9

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Data Index: 1489739 (Python Code)

Max Activating Token Index: 740

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Text #10

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Data Index: 419381 (C4 (Web Text))

Max Activating Token Index: 230

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Text #11

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Data Index: 560110 (C4 (Web Text))

Max Activating Token Index: 338

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Text #12

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Data Index: 1624314 (Python Code)

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Text #13

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Data Index: 247092 (C4 (Web Text))

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Text #14

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Data Index: 1325 (C4 (Web Text))

Max Activating Token Index: 909

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Text #15

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Data Index: 749838 (C4 (Web Text))

Max Activating Token Index: 286

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Text #16

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Data Index: 42454 (C4 (Web Text))

Max Activating Token Index: 409

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Text #17

Max Range: 3.5562. Min Range: -3.5562

Max Act: 2.4809. Min Act: -0.0001

Data Index: 384712 (C4 (Web Text))

Max Activating Token Index: 992

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Text #18

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Data Index: 656734 (C4 (Web Text))

Max Activating Token Index: 414

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Text #19

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Data Index: 724561 (C4 (Web Text))

Max Activating Token Index: 700

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