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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 14-GEMMASCOPE-RES-16K
    6. 6602
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    Explanations

    the presence of medical terminology and related statistical analysis in health-related documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ◗
    -0.46
    〉
    -0.45
    ,’’
    -0.44
    ,''
    -0.43
    ־ה
    -0.43
    ‘‘
    -0.43
    ?''
    -0.43
     ‘‘
    -0.43
    Ϫ
    -0.42
    ?«
    -0.42
    POSITIVE LOGITS
     Whilst
    0.98
    Whilst
    0.96
     Amongst
    0.90
     whilst
    0.89
     poichè
    0.84
     amongst
    0.82
     Anyways
    0.82
     navidad
    0.81
     perchè
    0.80
    Anyways
    0.78
    Activations Density 2.100%

    No Known Activations