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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3171 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.0098. Min Range: -0.0098

Max Act: 0.0098. Min Act: -0.0002

Data Index: 1285224 (C4 (Web Text))

Max Activating Token Index: 686

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Text #1

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 209623 (C4 (Web Text))

Max Activating Token Index: 643

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Text #2

Max Range: 0.0098. Min Range: -0.0098

Max Act: 0.0089. Min Act: -0.0002

Data Index: 673894 (C4 (Web Text))

Max Activating Token Index: 686

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Text #3

Max Range: 0.0098. Min Range: -0.0098

Max Act: 0.0089. Min Act: -0.0002

Data Index: 1590951 (Python Code)

Max Activating Token Index: 56

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Text #4

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Max Act: 0.0084. Min Act: -0.0002

Data Index: 1360002 (Python Code)

Max Activating Token Index: 177

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Text #5

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 1521744 (Python Code)

Max Activating Token Index: 54

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Text #6

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 1526147 (Python Code)

Max Activating Token Index: 159

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Text #7

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Max Act: 0.0078. Min Act: -0.0003

Data Index: 1306559 (C4 (Web Text))

Max Activating Token Index: 277

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Text #8

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1570886 (Python Code)

Max Activating Token Index: 106

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Text #9

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1418320 (Python Code)

Max Activating Token Index: 60

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Text #10

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1418132 (Python Code)

Max Activating Token Index: 59

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Text #11

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1484157 (Python Code)

Max Activating Token Index: 123

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Text #12

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Data Index: 1420021 (Python Code)

Max Activating Token Index: 409

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Text #13

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1402872 (Python Code)

Max Activating Token Index: 786

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Text #14

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 485942 (C4 (Web Text))

Max Activating Token Index: 98

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Text #15

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Data Index: 1550587 (Python Code)

Max Activating Token Index: 43

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Text #16

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 1505406 (Python Code)

Max Activating Token Index: 143

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Text #17

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1578641 (Python Code)

Max Activating Token Index: 135

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Text #18

Max Range: 0.0098. Min Range: -0.0098

Max Act: 0.0075. Min Act: -0.0002

Data Index: 1495777 (Python Code)

Max Activating Token Index: 624

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Text #19

Max Range: 0.0098. Min Range: -0.0098

Max Act: 0.0078. Min Act: -0.0002

Data Index: 1461028 (Python Code)

Max Activating Token Index: 89

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