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

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

Neuron 2029 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.2705. Min Act: -0.0001

Data Index: 445326 (C4 (Web Text))

Max Activating Token Index: 445

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Truncated

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Text #1

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Max Act: 0.2212. Min Act: -0.0001

Data Index: 1597423 (Python Code)

Max Activating Token Index: 104

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Truncated

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Text #2

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Max Act: 0.2293. Min Act: -0.0001

Data Index: 46541 (C4 (Web Text))

Max Activating Token Index: 363

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Text #3

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Max Act: 0.2088. Min Act: -0.0001

Data Index: 838156 (C4 (Web Text))

Max Activating Token Index: 864

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Truncated

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Text #4

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Max Act: 0.2136. Min Act: -0.0001

Data Index: 1311099 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #5

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Max Act: 0.1959. Min Act: -0.0001

Data Index: 827964 (C4 (Web Text))

Max Activating Token Index: 636

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Text #6

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Data Index: 822190 (C4 (Web Text))

Max Activating Token Index: 170

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Text #7

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Data Index: 734584 (C4 (Web Text))

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Text #8

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Data Index: 830295 (C4 (Web Text))

Max Activating Token Index: 724

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Text #9

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Data Index: 344506 (C4 (Web Text))

Max Activating Token Index: 500

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Truncated

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Text #10

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Data Index: 964380 (C4 (Web Text))

Max Activating Token Index: 1001

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Truncated

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Text #11

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Data Index: 67986 (C4 (Web Text))

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Text #12

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Data Index: 592544 (C4 (Web Text))

Max Activating Token Index: 265

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Text #13

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Data Index: 57634 (C4 (Web Text))

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Text #14

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Data Index: 628140 (C4 (Web Text))

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Text #15

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Data Index: 1571772 (Python Code)

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Text #16

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Data Index: 1154324 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.2057. Min Act: -0.0001

Data Index: 186763 (C4 (Web Text))

Max Activating Token Index: 268

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Text #18

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Max Act: 0.2129. Min Act: -0.0001

Data Index: 1236016 (C4 (Web Text))

Max Activating Token Index: 435

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Truncated

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Text #19

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Data Index: 713974 (C4 (Web Text))

Max Activating Token Index: 98

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