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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9485
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    Explanations

    references to wine-making processes and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
    cookieParser
    -0.66
    曖昧さ回避
    -0.59
    ConstraintMaker
    -0.54
     uska
    -0.52
    Chemicals
    -0.52
    prefetch
    -0.51
     Wine
    -0.51
    EClass
    -0.51
    BeginInit
    -0.51
    Wine
    -0.50
    POSITIVE LOGITS
     light
    0.66
     lighter
    0.64
     pale
    0.64
    bootstrapcdn
    0.63
    lightly
    0.61
     lightly
    0.60
    /−
    0.59
     Zweig
    0.58
     blend
    0.58
    bodied
    0.57
    Activations Density 0.095%

    No Known Activations