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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8572
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    requests for methods and systems aimed at improving efficiency and performance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -0.60
    oneofs
    -0.51
    ьаж
    -0.51
    URLException
    -0.49
     SafeMath
    -0.49
     <>",
    -0.49
    ArgsConstructor
    -0.48
    golang
    -0.46
    rungsseite
    -0.46
    EndContext
    -0.45
    POSITIVE LOGITS
    ACHUSET
    0.47
     professionali
    0.44
    évaluateur
    0.40
     Komunikasi
    0.40
    Imper
    0.40
     emperador
    0.39
     professionale
    0.39
     solida
    0.37
    Espèce
    0.37
     щоб
    0.36
    Activations Density 0.866%

    No Known Activations