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

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

Neuron 2465 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.0114. Min Range: -0.0114

Max Act: 0.0114. Min Act: -0.0003

Data Index: 340151 (C4 (Web Text))

Max Activating Token Index: 142

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Truncated

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Text #1

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Max Act: 0.0101. Min Act: -0.0003

Data Index: 1186082 (C4 (Web Text))

Max Activating Token Index: 865

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Truncated

Full Text #1


Text #2

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Max Act: 0.0096. Min Act: -0.0003

Data Index: 1155708 (C4 (Web Text))

Max Activating Token Index: 73

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Truncated

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Text #3

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Max Act: 0.0093. Min Act: -0.0003

Data Index: 890912 (C4 (Web Text))

Max Activating Token Index: 897

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Truncated

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Text #4

Max Range: 0.0114. Min Range: -0.0114

Max Act: 0.0091. Min Act: -0.0003

Data Index: 1045000 (C4 (Web Text))

Max Activating Token Index: 103

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Truncated

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Text #5

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Max Act: 0.0085. Min Act: -0.0003

Data Index: 1200237 (C4 (Web Text))

Max Activating Token Index: 754

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Truncated

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Text #6

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Max Act: 0.0080. Min Act: -0.0003

Data Index: 1331728 (C4 (Web Text))

Max Activating Token Index: 475

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Truncated

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Text #7

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Max Act: 0.0074. Min Act: -0.0003

Data Index: 4947 (C4 (Web Text))

Max Activating Token Index: 751

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Truncated

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Text #8

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Max Act: 0.0075. Min Act: -0.0003

Data Index: 335905 (C4 (Web Text))

Max Activating Token Index: 643

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Truncated

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Text #9

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Max Act: 0.0077. Min Act: -0.0003

Data Index: 771178 (C4 (Web Text))

Max Activating Token Index: 746

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Truncated

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Text #10

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Max Act: 0.0077. Min Act: -0.0003

Data Index: 494503 (C4 (Web Text))

Max Activating Token Index: 513

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Truncated

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Text #11

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Max Act: 0.0074. Min Act: -0.0003

Data Index: 4917 (C4 (Web Text))

Max Activating Token Index: 924

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Truncated

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Text #12

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Max Act: 0.0074. Min Act: -0.0003

Data Index: 594716 (C4 (Web Text))

Max Activating Token Index: 593

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Truncated

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Text #13

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Max Act: 0.0073. Min Act: -0.0003

Data Index: 351792 (C4 (Web Text))

Max Activating Token Index: 918

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Truncated

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Text #14

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Max Act: 0.0072. Min Act: -0.0003

Data Index: 637947 (C4 (Web Text))

Max Activating Token Index: 259

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Text #15

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Max Act: 0.0071. Min Act: -0.0003

Data Index: 1407995 (Python Code)

Max Activating Token Index: 870

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Text #16

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Max Act: 0.0075. Min Act: -0.0003

Data Index: 603478 (C4 (Web Text))

Max Activating Token Index: 528

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Truncated

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Text #17

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Max Act: 0.0078. Min Act: -0.0003

Data Index: 1486130 (Python Code)

Max Activating Token Index: 617

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Text #18

Max Range: 0.0114. Min Range: -0.0114

Max Act: 0.0069. Min Act: -0.0003

Data Index: 257191 (C4 (Web Text))

Max Activating Token Index: 510

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Truncated

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Text #19

Max Range: 0.0114. Min Range: -0.0114

Max Act: 0.0070. Min Act: -0.0003

Data Index: 1100477 (C4 (Web Text))

Max Activating Token Index: 98

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