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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9736
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    Explanations

    coefficients and their relationships in linear models, particularly calibration coefficients in the context of regression equations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     senz
    -0.52
     szóci
    -0.48
     glove
    -0.45
     Jameson
    -0.45
    נוע
    -0.44
    Be
    -0.44
    ifr
    -0.44
     Ltd
    -0.44
    opot
    -0.43
    об
    -0.43
    POSITIVE LOGITS
     coefficients
    0.85
    RegressionTest
    0.81
    VersionUID
    0.76
     ModelExpression
    0.75
     coefficient
    0.75
    endphp
    0.75
    coefficients
    0.72
     mergeFrom
    0.72
    UrlResolution
    0.71
     Coefficients
    0.70
    Activations Density 1.066%

    No Known Activations