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

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

Neuron 1362 in Layer 2

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: 0.0632. Min Act: -0.0002

Data Index: 927382 (C4 (Web Text))

Max Activating Token Index: 277

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Text #1

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Data Index: 1047365 (C4 (Web Text))

Max Activating Token Index: 23

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Text #2

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 562044 (C4 (Web Text))

Max Activating Token Index: 573

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Text #3

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Data Index: 1144115 (C4 (Web Text))

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Text #4

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Data Index: 1533644 (Python Code)

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Text #5

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Data Index: 808374 (C4 (Web Text))

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Text #6

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Data Index: 1519771 (Python Code)

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Text #7

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Data Index: 809246 (C4 (Web Text))

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Text #8

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Data Index: 610073 (C4 (Web Text))

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Text #9

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Data Index: 1176293 (C4 (Web Text))

Max Activating Token Index: 265

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Text #10

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Data Index: 554900 (C4 (Web Text))

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Text #11

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Data Index: 140256 (C4 (Web Text))

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Text #12

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Data Index: 1283909 (C4 (Web Text))

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Text #13

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Truncated

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Text #14

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Data Index: 205597 (C4 (Web Text))

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Text #15

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Data Index: 179562 (C4 (Web Text))

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Text #16

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Data Index: 761415 (C4 (Web Text))

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Text #17

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Data Index: 881504 (C4 (Web Text))

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Text #18

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Data Index: 563323 (C4 (Web Text))

Max Activating Token Index: 468

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Text #19

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Data Index: 677117 (C4 (Web Text))

Max Activating Token Index: 1012

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