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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1162
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    Explanations

    quantitative measurements related to body composition and health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    #+#
    -0.41
     للاسماء
    -0.40
    RTLR
    -0.37
    @[+][
    -0.36
    VersionUID
    -0.36
    BeginContext
    -0.35
    ⎨
    -0.32
     noDo
    -0.31
    RTSN
    -0.31
    .*")]
    -0.30
    POSITIVE LOGITS
     calculation
    3.14
     calculating
    2.97
     calculate
    2.95
     calculations
    2.91
     calculated
    2.84
     calculates
    2.75
     Calculation
    2.75
     calcul
    2.75
     CALCUL
    2.70
    calcul
    2.61
    Activations Density 1.844%

    No Known Activations