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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8730
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    Explanations

    specific compounds relevant to food microbiology and their applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jsii
    -0.46
    Mockito
    -0.40
    ouds
    -0.39
    tanleria
    -0.38
    SharedDtor
    -0.37
     mowing
    -0.36
     felt
    -0.35
     Gallagher
    -0.35
     drill
    -0.35
     bundles
    -0.35
    POSITIVE LOGITS
     Food
    0.70
     Lebensmittel
    0.70
    Food
    0.69
     FOOD
    0.68
    食品
    0.68
    FOOD
    0.68
    food
    0.66
     food
    0.66
     Foods
    0.66
    Foods
    0.64
    Activations Density 0.349%

    No Known Activations