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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15605
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    Explanations

    references to thinness or thickness 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 @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    曖昧さ回避
    -0.76
    IndentedString
    -0.72
    Datuak
    -0.69
     <=",
    -0.67
     חיצוניים
    -0.67
     JpaRepository
    -0.66
     оригіналу
    -0.66
    ppled
    -0.64
    MigrationBuilder
    -0.63
    Referanser
    -0.62
    POSITIVE LOGITS
     thinner
    0.93
     thin
    0.92
     slim
    0.88
    thin
    0.78
     thick
    0.75
    slim
    0.75
     Thin
    0.73
     thicker
    0.71
     thinning
    0.67
     Thick
    0.66
    Activations Density 0.189%

    No Known Activations