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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3016 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0334. Min Act: -0.0003

Data Index: 1065257 (C4 (Web Text))

Max Activating Token Index: 676

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Text #1

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Max Act: 0.0285. Min Act: -0.0003

Data Index: 300043 (C4 (Web Text))

Max Activating Token Index: 1018

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Truncated

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Text #2

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Max Act: 0.0283. Min Act: -0.0003

Data Index: 1133084 (C4 (Web Text))

Max Activating Token Index: 233

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Text #3

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 540445 (C4 (Web Text))

Max Activating Token Index: 271

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Truncated

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Text #4

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Max Act: 0.0289. Min Act: -0.0003

Data Index: 1073510 (C4 (Web Text))

Max Activating Token Index: 429

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Truncated

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Text #5

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Max Act: 0.0247. Min Act: -0.0003

Data Index: 709695 (C4 (Web Text))

Max Activating Token Index: 269

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Text #6

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Data Index: 727259 (C4 (Web Text))

Max Activating Token Index: 176

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Truncated

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Text #7

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Data Index: 1357888 (C4 (Web Text))

Max Activating Token Index: 826

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Truncated

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Text #8

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Data Index: 1082246 (C4 (Web Text))

Max Activating Token Index: 306

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Text #9

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Data Index: 399718 (C4 (Web Text))

Max Activating Token Index: 147

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Truncated

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Text #10

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Data Index: 512697 (C4 (Web Text))

Max Activating Token Index: 502

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 881574 (C4 (Web Text))

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Text #13

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Data Index: 957053 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 4352 (C4 (Web Text))

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Text #15

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Data Index: 544075 (C4 (Web Text))

Max Activating Token Index: 885

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Text #16

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Truncated

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Text #17

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Data Index: 788706 (C4 (Web Text))

Max Activating Token Index: 853

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Text #18

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Max Act: 0.0233. Min Act: -0.0003

Data Index: 248645 (C4 (Web Text))

Max Activating Token Index: 781

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Truncated

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Text #19

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Max Act: 0.0228. Min Act: -0.0003

Data Index: 510725 (C4 (Web Text))

Max Activating Token Index: 353

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