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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3696
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    Explanations

    terms related to dietary patterns and obesity risk factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     كومونز
    -0.50
    TintMode
    -0.40
     OMITBAD
    -0.38
     ویکی‌پدی
    -0.38
     ब्रेकडाउन
    -0.38
    ynchronously
    -0.37
    folger
    -0.36
    PMailer
    -0.36
    VPB
    -0.36
    tawesome
    -0.36
    POSITIVE LOGITS
     obesity
    1.52
     fat
    1.45
     Obesity
    1.37
     obese
    1.36
     overweight
    1.34
     weight
    1.33
    Obesity
    1.30
     Fat
    1.20
    Fat
    1.16
    肥
    1.16
    Activations Density 0.575%

    No Known Activations