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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7169
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    Explanations

    references to different types of vehicles, especially cars and trucks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IsMutable
    -0.45
     автомо
    -0.40
     thicken
    -0.39
     aéreas
    -0.39
    FunctionFlags
    -0.39
    mieszkanie
    -0.38
     motocic
    -0.38
    飛行機
    -0.37
    PropertyChanging
    -0.37
     PagesJaunes
    -0.37
    POSITIVE LOGITS
     parked
    0.79
    💨
    0.65
    loads
    0.55
    load
    0.51
     registration
    0.51
    peted
    0.49
     fleet
    0.48
     parks
    0.47
     dealership
    0.47
     dealerships
    0.47
    Activations Density 0.287%

    No Known Activations