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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 20-GEMMASCOPE-RES-16K
    6. 14010
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    INDEX
    Explanations

    metrics related to diagnostic accuracy and performance evaluation

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

    Metrics of model performance

    np_acts-logits-general · gemini-2.0-flash

    evaluation metrics

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alber
    -0.33
    Lit
    -0.30
     Zum
    -0.29
     Gru
    -0.28
     club
    -0.28
    Tip
    -0.28
    Bronnen
    -0.28
    en
    -0.28
     tils
    -0.27
    :+:
    -0.27
    POSITIVE LOGITS
     accuracy
    0.87
     Accuracy
    0.73
    accuracy
    0.69
     TestBed
    0.65
    elemField
    0.63
     ainfi
    0.62
    Accuracy
    0.60
     desempenho
    0.59
    featureID
    0.58
     performance
    0.57
    Activations Density 0.995%

    No Known Activations