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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. 5939
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    Explanations

    concepts related to genetic predispositions and their implications for health

    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
    ="@+
    -0.36
    VPB
    -0.34
    uttosto
    -0.30
    eschou
    -0.30
    digheid
    -0.30
    gsmål
    -0.29
    gründe
    -0.29
     chaude
    -0.29
    CppMethod
    -0.28
    ſion
    -0.28
    POSITIVE LOGITS
     genetic
    2.75
     gene
    2.70
     genes
    2.50
     genetics
    2.39
     Genetic
    2.36
     genética
    2.31
     genetically
    2.31
    Genetic
    2.28
     Gene
    2.23
    gene
    2.23
    Activations Density 1.990%

    No Known Activations