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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12132
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    Explanations

    performances and comparisons 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 @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     &___
    -0.50
    providedIn
    -0.42
    ModelSerializer
    -0.42
    ynb
    -0.42
     مرئيه
    -0.41
    IsContent
    -0.40
    noinspection
    -0.38
    copically
    -0.37
    AccessorTable
    -0.36
    外部連結
    -0.35
    POSITIVE LOGITS
     performance
    0.85
     performances
    0.78
     effort
    0.70
    performance
    0.61
     showing
    0.58
     efforts
    0.57
     finish
    0.56
     outing
    0.52
     חיצוניים
    0.51
     desempeño
    0.51
    Activations Density 0.279%

    No Known Activations