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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10475
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    references to feature selection methods and optimization algorithms in the context of machine learning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 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
     nahilalakip
    -0.50
     externi
    -0.48
    UnusedPrivate
    -0.45
     linkovi
    -0.44
    erçe
    -0.43
     Wikimedijinoj
    -0.43
    Последние
    -0.40
    effetto
    -0.40
     تانيه
    -0.37
     jspb
    -0.37
    POSITIVE LOGITS
     optimization
    0.60
     Optimization
    0.56
    SBATCH
    0.56
     problem
    0.55
     Advisors
    0.54
     constraint
    0.54
     solve
    0.54
     Réponses
    0.54
     optimal
    0.53
     solving
    0.53
    Activations Density 0.783%

    No Known Activations