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Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1238 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')



Text #0

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Max Act: 0.0360. Min Act: -0.0001

Data Index: 1413103 (Python Code)

Max Activating Token Index: 974

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Text #1

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Max Act: 0.0355. Min Act: -0.0001

Data Index: 1430892 (Python Code)

Max Activating Token Index: 884

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Text #2

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Max Act: 0.0348. Min Act: -0.0001

Data Index: 1514317 (Python Code)

Max Activating Token Index: 994

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Text #3

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Max Act: 0.0353. Min Act: -0.0000

Data Index: 1547350 (Python Code)

Max Activating Token Index: 967

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Text #4

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 1588877 (Python Code)

Max Activating Token Index: 903

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Text #5

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Data Index: 1514684 (Python Code)

Max Activating Token Index: 929

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Text #6

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Data Index: 1594593 (Python Code)

Max Activating Token Index: 967

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Text #7

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Data Index: 1401117 (Python Code)

Max Activating Token Index: 1019

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Text #8

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Data Index: 1515710 (Python Code)

Max Activating Token Index: 981

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Text #9

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Data Index: 1581814 (Python Code)

Max Activating Token Index: 882

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Text #10

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Data Index: 567836 (C4 (Web Text))

Max Activating Token Index: 998

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Text #11

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Data Index: 388512 (C4 (Web Text))

Max Activating Token Index: 968

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Text #12

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Data Index: 1494726 (Python Code)

Max Activating Token Index: 913

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Text #13

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Data Index: 1375338 (Python Code)

Max Activating Token Index: 980

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Text #14

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Data Index: 1423594 (Python Code)

Max Activating Token Index: 949

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Text #15

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Data Index: 1142400 (C4 (Web Text))

Max Activating Token Index: 896

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Text #16

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Data Index: 1582760 (Python Code)

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Text #17

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Data Index: 1276985 (C4 (Web Text))

Max Activating Token Index: 977

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Text #18

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Data Index: 534425 (C4 (Web Text))

Max Activating Token Index: 604

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Text #19

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Data Index: 1653670 (Python Code)

Max Activating Token Index: 991

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