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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 16354
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    names of notable sports figures and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    లాలు
    -0.72
     propOrder
    -0.65
    WAII
    -0.61
     />';
    -0.61
    Erreferentziak
    -0.60
    nefs
    -0.56
     '\\;'
    -0.56
    tisgarh
    -0.56
     calendriers
    -0.56
    StoryboardSegue
    -0.56
    POSITIVE LOGITS
    makeText
    0.47
     legenda
    0.47
     legendar
    0.47
    нома
    0.45
     recensement
    0.45
     retirement
    0.43
    فحة
    0.42
    ModelSerializer
    0.42
    HtmlAttribute
    0.41
     선수
    0.41
    Activations Density 0.909%

    No Known Activations