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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5688
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    INDEX
    Explanations

    descriptions of car features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Volkswagen vehicles

    np_acts-logits-general · gemini-2.0-flash

    Volkswagen models and SUVs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UpInside
    -0.43
    Personendaten
    -0.41
     leksikon
    -0.41
    SurfaceView
    -0.41
    InvalidProtocol
    -0.40
    StoryboardSegue
    -0.40
    Referències
    -0.39
    yntaxException
    -0.39
     dniu
    -0.39
     specialised
    -0.36
    POSITIVE LOGITS
     SUV
    0.60
    ashqai
    0.58
     SUVs
    0.56
     sedan
    0.54
     suv
    0.51
     Kia
    0.51
     Chevy
    0.51
     Chrysler
    0.50
     Sedan
    0.50
     Grille
    0.50
    Activations Density 0.264%

    No Known Activations