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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 18461
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    INDEX
    Explanations

    terms related to treatment efficacy and patient responses in a medical context

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

    viral treatment resistance

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorStyles
    -0.68
    TypedDataSet
    -0.64
     FetchType
    -0.63
     &___
    -0.59
    GraphicsUnit
    -0.59
     مشين
    -0.59
    SharedCtor
    -0.55
    @[+][
    -0.50
     nakalista
    -0.50
     AssemblyVersion
    -0.49
    POSITIVE LOGITS
     treatment
    0.48
     resistance
    0.46
     drugs
    0.46
     Resistance
    0.43
     drug
    0.43
     treat
    0.42
     intel
    0.38
    藥
    0.38
     Drugs
    0.38
     dru
    0.38
    Activations Density 0.281%

    No Known Activations