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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 59
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    Explanations

    terms related to body mass index and obesity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.70
    posedge
    -0.63
    consulté
    -0.62
    msgTypes
    -0.54
     Roskov
    -0.53
    pions
    -0.47
    ftagPool
    -0.46
    windowFixed
    -0.46
    Worker
    -0.45
    COUVER
    -0.44
    POSITIVE LOGITS
     fat
    1.14
     weight
    1.04
     obese
    1.03
     overweight
    1.02
     Fat
    0.98
    Fat
    0.98
    fat
    0.97
     Obesity
    0.97
     WEIGHT
    0.97
     obesity
    0.96
    Activations Density 0.519%

    No Known Activations