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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 35258
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    INDEX
    Explanations

    terms related to various medical conditions and diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    cardiovascular, respiratory, and GI conditions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DockStyle
    -0.79
    StoryboardSegue
    -0.73
    MLLoader
    -0.71
    Personendaten
    -0.71
    GEBURTSDATUM
    -0.69
    
    -0.68
    ReusableCell
    -0.66
    RefNanny
    -0.65
    posedge
    -0.65
    ulemon
    -0.65
    POSITIVE LOGITS
     cardiovas
    0.32
    <eos>
    0.27
     cardiovascular
    0.25
     related
    0.25
     tibi
    0.24
    NSError
    0.24
     ce
    0.24
     вя
    0.24
     respiratory
    0.24
     volet
    0.24
    Activations Density 0.243%

    No Known Activations