Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1368 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0174. Min Act: -0.0004

Data Index: 116136 (C4 (Web Text))

Max Activating Token Index: 751

Text #1

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Max Act: 0.0172. Min Act: -0.0004

Data Index: 718817 (C4 (Web Text))

Max Activating Token Index: 955

Text #2

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Max Act: 0.0162. Min Act: -0.0003

Data Index: 315060 (C4 (Web Text))

Max Activating Token Index: 465

Text #3

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1258158 (C4 (Web Text))

Max Activating Token Index: 821

Text #4

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Max Act: 0.0157. Min Act: -0.0003

Data Index: 75295 (C4 (Web Text))

Max Activating Token Index: 494

Text #5

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Max Act: 0.0153. Min Act: -0.0004

Data Index: 1220002 (C4 (Web Text))

Max Activating Token Index: 387

Text #6

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Max Act: 0.0163. Min Act: -0.0003

Data Index: 217999 (C4 (Web Text))

Max Activating Token Index: 660

Text #7

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Data Index: 1199214 (C4 (Web Text))

Max Activating Token Index: 6

Text #8

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Data Index: 544257 (C4 (Web Text))

Max Activating Token Index: 774

Text #9

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Data Index: 369512 (C4 (Web Text))

Max Activating Token Index: 471

Text #10

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Max Activating Token Index: 132

Text #11

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Max Activating Token Index: 61

Text #12

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Max Activating Token Index: 533

Text #13

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Data Index: 48717 (C4 (Web Text))

Max Activating Token Index: 1002

Text #14

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Data Index: 1295053 (C4 (Web Text))

Max Activating Token Index: 531

Text #15

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Text #16

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Max Activating Token Index: 591

Text #17

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Max Activating Token Index: 871

Text #18

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Data Index: 1094960 (C4 (Web Text))

Max Activating Token Index: 212

Text #19

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 638341 (C4 (Web Text))

Max Activating Token Index: 624