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

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

Neuron 2949 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0064. Min Act: -0.0003

Data Index: 1466198 (Python Code)

Max Activating Token Index: 44

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Text #1

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Max Act: 0.0060. Min Act: -0.0003

Data Index: 1644916 (Python Code)

Max Activating Token Index: 373

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Text #2

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Max Act: 0.0059. Min Act: -0.0003

Data Index: 425939 (C4 (Web Text))

Max Activating Token Index: 418

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Text #3

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 1397190 (Python Code)

Max Activating Token Index: 14

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Text #4

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 1421473 (Python Code)

Max Activating Token Index: 114

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Text #5

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Data Index: 1590718 (Python Code)

Max Activating Token Index: 59

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Text #6

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Data Index: 1442480 (Python Code)

Max Activating Token Index: 204

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Text #7

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Data Index: 1473971 (Python Code)

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Text #8

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Data Index: 1579023 (Python Code)

Max Activating Token Index: 904

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Text #9

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Data Index: 1480227 (Python Code)

Max Activating Token Index: 391

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Text #10

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Data Index: 1578440 (Python Code)

Max Activating Token Index: 365

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Text #11

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Data Index: 1436064 (Python Code)

Max Activating Token Index: 9

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Text #12

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Data Index: 1595585 (Python Code)

Max Activating Token Index: 44

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Text #13

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Data Index: 1463078 (Python Code)

Max Activating Token Index: 110

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Text #14

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Data Index: 1482102 (Python Code)

Max Activating Token Index: 587

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Text #15

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Data Index: 1485063 (Python Code)

Max Activating Token Index: 920

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Text #16

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Data Index: 1361495 (Python Code)

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Text #17

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Data Index: 1546639 (Python Code)

Max Activating Token Index: 394

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Text #18

Max Range: 0.0064. Min Range: -0.0064

Max Act: 0.0054. Min Act: -0.0004

Data Index: 1208212 (C4 (Web Text))

Max Activating Token Index: 887

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Text #19

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Max Act: 0.0054. Min Act: -0.0003

Data Index: 1455475 (Python Code)

Max Activating Token Index: 48

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