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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. 11657
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    INDEX
    Explanations

    references to performance metrics in sports

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

    performance or improvement

    np_acts-logits-general · gemini-2.0-flash

    performance and execution

    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
    AutoField
    -0.56
    UrlEncoded
    -0.56
    DockStyle
    -0.52
     Audiodateien
    -0.51
     kaynağından
    -0.48
     houſe
    -0.48
    topbar
    -0.47
    AnchorTagHelper
    -0.47
    StoryboardSegue
    -0.47
    Kanpo
    -0.46
    POSITIVE LOGITS
     performances
    0.59
     performance
    0.59
    performance
    0.51
     Leistungen
    0.48
     Performances
    0.48
    Performances
    0.43
     Leistung
    0.43
    PERFORMANCE
    0.42
     PERFORMANCE
    0.42
     improvement
    0.42
    Activations Density 0.116%

    No Known Activations