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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 12347
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    Explanations

    references to various types of stations, particularly railway stations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meksiku
    -0.56
     outgrowth
    -0.44
     autorytatywna
    -0.43
     recruitment
    -0.41
    Javadoc
    -0.40
     poches
    -0.39
     preservar
    -0.39
     laborales
    -0.38
     škoda
    -0.38
     prejudice
    -0.37
    POSITIVE LOGITS
     station
    2.14
     Station
    1.98
     stations
    1.95
    station
    1.85
    Station
    1.84
     STATION
    1.83
     Stations
    1.80
    Stations
    1.66
    stations
    1.62
    STATION
    1.55
    Activations Density 0.058%

    No Known Activations