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

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

Neuron 527 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.1758. Min Range: -0.1758

Max Act: 0.1758. Min Act: -0.0002

Data Index: 1313375 (C4 (Web Text))

Max Activating Token Index: 656

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Truncated

Full Text #0


Text #1

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Max Act: 0.1483. Min Act: -0.0002

Data Index: 32815 (C4 (Web Text))

Max Activating Token Index: 273

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Truncated

Full Text #1


Text #2

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Max Act: 0.1196. Min Act: -0.0002

Data Index: 1077544 (C4 (Web Text))

Max Activating Token Index: 703

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Truncated

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Text #3

Max Range: 0.1758. Min Range: -0.1758

Max Act: 0.1174. Min Act: -0.0002

Data Index: 909334 (C4 (Web Text))

Max Activating Token Index: 720

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Truncated

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Text #4

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Max Act: 0.1205. Min Act: -0.0002

Data Index: 644164 (C4 (Web Text))

Max Activating Token Index: 597

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Truncated

Full Text #4


Text #5

Max Range: 0.1758. Min Range: -0.1758

Max Act: 0.1163. Min Act: -0.0002

Data Index: 1267488 (C4 (Web Text))

Max Activating Token Index: 882

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Truncated

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Text #6

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Max Act: 0.1134. Min Act: -0.0002

Data Index: 942755 (C4 (Web Text))

Max Activating Token Index: 451

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Truncated

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Text #7

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Max Act: 0.1134. Min Act: -0.0002

Data Index: 1592953 (Python Code)

Max Activating Token Index: 907

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Truncated

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Text #8

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Max Act: 0.1162. Min Act: -0.0002

Data Index: 1270202 (C4 (Web Text))

Max Activating Token Index: 645

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Truncated

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Text #9

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Max Act: 0.1046. Min Act: -0.0002

Data Index: 156145 (C4 (Web Text))

Max Activating Token Index: 430

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Truncated

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Text #10

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Max Act: 0.1052. Min Act: -0.0002

Data Index: 1469185 (Python Code)

Max Activating Token Index: 217

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Truncated

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Text #11

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Max Act: 0.1046. Min Act: -0.0002

Data Index: 634670 (C4 (Web Text))

Max Activating Token Index: 435

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Truncated

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Text #12

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Max Act: 0.1107. Min Act: -0.0002

Data Index: 865848 (C4 (Web Text))

Max Activating Token Index: 526

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Truncated

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Text #13

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Max Act: 0.1026. Min Act: -0.0002

Data Index: 235679 (C4 (Web Text))

Max Activating Token Index: 905

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Truncated

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Text #14

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Max Act: 0.1031. Min Act: -0.0002

Data Index: 548838 (C4 (Web Text))

Max Activating Token Index: 36

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Text #15

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Max Act: 0.0984. Min Act: -0.0002

Data Index: 1467514 (Python Code)

Max Activating Token Index: 260

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Truncated

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Text #16

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Max Act: 0.0977. Min Act: -0.0002

Data Index: 1147548 (C4 (Web Text))

Max Activating Token Index: 53

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Truncated

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Text #17

Max Range: 0.1758. Min Range: -0.1758

Max Act: 0.0925. Min Act: -0.0002

Data Index: 622672 (C4 (Web Text))

Max Activating Token Index: 876

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Truncated

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Text #18

Max Range: 0.1758. Min Range: -0.1758

Max Act: 0.1024. Min Act: -0.0002

Data Index: 822612 (C4 (Web Text))

Max Activating Token Index: 443

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Truncated

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Text #19

Max Range: 0.1758. Min Range: -0.1758

Max Act: 0.1089. Min Act: -0.0002

Data Index: 76302 (C4 (Web Text))

Max Activating Token Index: 597

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Truncated

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