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

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

Neuron 3025 in Layer 3

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: 0.0736. Min Act: -0.0001

Data Index: 798015 (C4 (Web Text))

Max Activating Token Index: 231

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Text #1

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Max Act: 0.0679. Min Act: -0.0001

Data Index: 1061366 (C4 (Web Text))

Max Activating Token Index: 409

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Truncated

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Text #2

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Max Act: 0.0655. Min Act: -0.0001

Data Index: 596861 (C4 (Web Text))

Max Activating Token Index: 684

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Text #3

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Data Index: 1291686 (C4 (Web Text))

Max Activating Token Index: 243

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Truncated

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Text #4

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Data Index: 1006552 (C4 (Web Text))

Max Activating Token Index: 262

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Truncated

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Text #5

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Data Index: 297131 (C4 (Web Text))

Max Activating Token Index: 436

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Text #6

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Data Index: 962599 (C4 (Web Text))

Max Activating Token Index: 194

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Text #7

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Data Index: 1195979 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1029459 (C4 (Web Text))

Max Activating Token Index: 905

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Text #9

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Data Index: 607291 (C4 (Web Text))

Max Activating Token Index: 293

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 924921 (C4 (Web Text))

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Text #18

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Data Index: 526487 (C4 (Web Text))

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Text #19

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Data Index: 319693 (C4 (Web Text))

Max Activating Token Index: 464

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