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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 8968
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    Explanations

    metrics related to nutritional deficiencies and dietary intake

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RectangleBorder
    -0.64
     claust
    -0.49
    detached
    -0.48
     initialState
    -0.48
    CodeAttribute
    -0.48
     anest
    -0.48
    zeka
    -0.47
    prefixer
    -0.47
     teething
    -0.46
    
    -0.45
    POSITIVE LOGITS
     diet
    1.33
     intake
    1.25
     dietary
    1.22
     diets
    1.18
     intakes
    1.13
     Dietary
    1.07
    diet
    1.02
     Diet
    1.02
    Diet
    1.02
     Intake
    1.01
    Activations Density 0.963%

    No Known Activations