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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 16366
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    Explanations

    terms related to fat and obesity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     essentially
    -0.49
     professional
    -0.47
    rem
    -0.47
     campaign
    -0.46
    nen
    -0.45
     counter
    -0.45
     crisis
    -0.45
     basically
    -0.45
     mand
    -0.44
     quasi
    -0.44
    POSITIVE LOGITS
     fat
    0.73
     gewicht
    0.73
     poids
    0.71
     obesity
    0.69
     avoient
    0.69
     weight
    0.68
     weights
    0.66
     grasa
    0.66
    Obesity
    0.64
     Gewichts
    0.63
    Activations Density 0.219%

    No Known Activations