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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 44513
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    Explanations

    references to model parameters and weights in the context of machine learning

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

    modelmodel weights and parameters

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Autoritní
    -0.52
     للمعارف
    -0.50
    migrationBuilder
    -0.48
     محفوظة
    -0.45
    postsleuth
    -0.45
     CanadaChoose
    -0.44
    BufferException
    -0.43
    quic
    -0.42
     Phenomena
    -0.41
    TypeService
    -0.41
    POSITIVE LOGITS
     weights
    0.62
    Weights
    0.61
    fficients
    0.50
    权
    0.47
    weights
    0.47
     weighting
    0.47
     weight
    0.45
     Weights
    0.45
    coeffs
    0.44
     Paramètres
    0.44
    Activations Density 0.284%

    No Known Activations