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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10942
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    terms related to morbidity and health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.42
     كومونز
    -0.40
     betweenstory
    -0.38
     slat
    -0.36
    構成
    -0.35
    時は
    -0.35
    postmedia
    -0.35
    partiet
    -0.35
    citep
    -0.34
    Carriera
    -0.34
    POSITIVE LOGITS
    mor
    1.12
    MOR
    1.02
    Mor
    1.00
     MOR
    1.00
     Mor
    1.00
     mor
    0.96
    morph
    0.88
     morphological
    0.86
     MORT
    0.82
     Morph
    0.81
    Activations Density 1.735%

    No Known Activations