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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1856 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0107. Min Act: -0.0001

Data Index: 958347 (C4 (Web Text))

Max Activating Token Index: 37

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Truncated

Full Text #0


Text #1

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0098. Min Act: -0.0000

Data Index: 1055386 (C4 (Web Text))

Max Activating Token Index: 139

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Truncated

Full Text #1


Text #2

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0096. Min Act: -0.0000

Data Index: 731866 (C4 (Web Text))

Max Activating Token Index: 31

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Truncated

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Text #3

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0093. Min Act: -0.0001

Data Index: 1279498 (C4 (Web Text))

Max Activating Token Index: 15

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Truncated

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Text #4

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0094. Min Act: -0.0000

Data Index: 1536398 (Python Code)

Max Activating Token Index: 144

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Truncated

Full Text #4


Text #5

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0088. Min Act: -0.0000

Data Index: 1248852 (C4 (Web Text))

Max Activating Token Index: 10

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Truncated

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Text #6

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Max Act: 0.0098. Min Act: -0.0000

Data Index: 582577 (C4 (Web Text))

Max Activating Token Index: 11

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Truncated

Full Text #6


Text #7

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0093. Min Act: -0.0000

Data Index: 1245805 (C4 (Web Text))

Max Activating Token Index: 25

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Truncated

Full Text #7


Text #8

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0092. Min Act: -0.0000

Data Index: 1210524 (C4 (Web Text))

Max Activating Token Index: 100

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Truncated

Full Text #8


Text #9

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0093. Min Act: -0.0000

Data Index: 1203571 (C4 (Web Text))

Max Activating Token Index: 140

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Truncated

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Text #10

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Max Act: 0.0092. Min Act: -0.0000

Data Index: 542383 (C4 (Web Text))

Max Activating Token Index: 109

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Truncated

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Text #11

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Max Act: 0.0091. Min Act: -0.0000

Data Index: 95242 (C4 (Web Text))

Max Activating Token Index: 33

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Truncated

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Text #12

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Max Act: 0.0091. Min Act: -0.0000

Data Index: 75773 (C4 (Web Text))

Max Activating Token Index: 251

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Truncated

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Text #13

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Max Act: 0.0094. Min Act: -0.0000

Data Index: 622797 (C4 (Web Text))

Max Activating Token Index: 172

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Truncated

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Text #14

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0090. Min Act: -0.0000

Data Index: 1187937 (C4 (Web Text))

Max Activating Token Index: 66

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Truncated

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Text #15

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0093. Min Act: -0.0000

Data Index: 1498329 (Python Code)

Max Activating Token Index: 193

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Truncated

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Text #16

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0090. Min Act: -0.0000

Data Index: 651537 (C4 (Web Text))

Max Activating Token Index: 22

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Truncated

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Text #17

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0092. Min Act: -0.0000

Data Index: 1550360 (Python Code)

Max Activating Token Index: 180

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Truncated

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Text #18

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0089. Min Act: -0.0000

Data Index: 225575 (C4 (Web Text))

Max Activating Token Index: 103

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Truncated

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Text #19

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0087. Min Act: -0.0000

Data Index: 429349 (C4 (Web Text))

Max Activating Token Index: 23

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Truncated

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