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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4478
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    Explanations

    statements about performance and execution in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.60
    spli
    -0.48
    apimachinery
    -0.44
    ConstraintMaker
    -0.42
    auto
    -0.40
    UserScript
    -0.40
    afu
    -0.38
     MaterialApp
    -0.37
     auto
    -0.37
    SBATCH
    -0.37
    POSITIVE LOGITS
    ſelves
    0.53
    ſelf
    0.52
    UnsafeEnabled
    0.49
    发表于
    0.46
     ErrIntOverflow
    0.42
     Réponses
    0.42
     lapses
    0.41
    addCriterion
    0.40
     activado
    0.40
    ArrowToggle
    0.40
    Activations Density 0.169%

    No Known Activations