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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 7903
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    Explanations

    medical terms related to hospitalizations and associated conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.46
    ChildScrollView
    -0.41
    SequentialGroup
    -0.41
    principalColumn
    -0.39
    .*")]
    -0.37
    providedIn
    -0.36
    Personendaten
    -0.35
    ViewImports
    -0.35
     AssemblyProduct
    -0.34
     pinulongan
    -0.33
    POSITIVE LOGITS
     hospital
    1.56
     hospitalization
    1.52
     admission
    1.52
     hospitalized
    1.46
    hospital
    1.44
    admission
    1.38
     admitted
    1.36
     inpatient
    1.35
     Admission
    1.35
     admissions
    1.34
    Activations Density 0.854%

    No Known Activations