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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 12321
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    Explanations

    references to costs and cost-effectiveness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 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
     Dumas
    -0.80
     Berthe
    -0.79
    ]]
    -0.78
     Babylon
    -0.78
     Viena
    -0.76
     Leclerc
    -0.75
    ViewFeatures
    -0.74
     pediatrician
    -0.72
     Weyl
    -0.72
    eloma
    -0.72
    POSITIVE LOGITS
     cost
    1.48
     Cost
    1.47
     COST
    1.44
     costs
    1.37
    Cost
    1.35
    cost
    1.34
    COST
    1.31
     Kost
    1.29
     Costs
    1.22
    Costs
    1.13
    Activations Density 0.041%

    No Known Activations