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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 11609
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    Explanations

    references to various types of pasta and their characteristics in a culinary context

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

    before chemical or mathematical terms

    np_acts-logits-general · gemini-2.0-flash

    ammonium nitrate, plasmon, linear Gaussian

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Xna
    -0.60
    gdx
    -0.53
     QLabel
    -0.53
     للاسماء
    -0.52
    picasso
    -0.52
     فريبيس
    -0.50
     ModelRenderer
    -0.49
     flaps
    -0.49
    rungsseite
    -0.49
     Autorizaciones
    -0.48
    POSITIVE LOGITS
     tapete
    0.49
     carottes
    0.48
    upné
    0.45
    escalier
    0.44
     verdieping
    0.43
     vloer
    0.42
     flooring
    0.42
    SqlSession
    0.42
     podéis
    0.42
     numberOfRows
    0.42
    Activations Density 1.032%

    No Known Activations