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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 13131
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    INDEX
    Explanations

    metrics and statistical performance measures related to predictive modeling

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

    Accuracy, precision, recall, or performance

    np_acts-logits-general · gemini-2.0-flash

    performance metrics

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Geplaatst
    -0.39
     Penga
    -0.37
     olet
    -0.37
     springfox
    -0.36
    omburg
    -0.35
     Bur
    -0.35
    ayan
    -0.35
    Ơ
    -0.35
    fit
    -0.35
     Bala
    -0.35
    POSITIVE LOGITS
     accuracy
    0.91
     Accuracy
    0.84
     precision
    0.74
    Accuracy
    0.72
     Precision
    0.71
    accuracy
    0.69
     recall
    0.68
     performance
    0.68
    Precision
    0.63
     précision
    0.63
    Activations Density 1.071%

    No Known Activations