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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9239
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    Explanations

    technical terms and phrases related to medical or scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Mar", "MAR", "мар", "مار"

    np_acts-logits-general · gemini-2.0-flash

    mar, MARCO, marg

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.55
     Huey
    -0.55
    UrlResolution
    -0.55
    Schwer
    -0.51
     AssemblyCulture
    -0.51
     Schwer
    -0.50
    NewGuid
    -0.50
     Callum
    -0.49
     Wight
    -0.48
    Executors
    -0.48
    POSITIVE LOGITS
     Mar
    3.15
     MAR
    3.13
     mar
    3.03
    Mar
    3.02
    MAR
    2.88
    mar
    2.72
     Мар
    2.50
    Мар
    2.27
     мар
    2.18
     مار
    2.03
    Activations Density 0.273%

    No Known Activations