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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 11490
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    Explanations

    references to the term "Renormalization" and its variations in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.55
    ConstraintMaker
    -0.43
    Бахар
    -0.43
     المعيارى
    -0.43
    ValueGenerated
    -0.43
     AssemblyCulture
    -0.42
    GEBURTSDATUM
    -0.42
    Біографія
    -0.38
    亥
    -0.38
     Epile
    -0.37
    POSITIVE LOGITS
    Ren
    0.62
     Ren
    0.61
     ren
    0.60
     rend
    0.58
     Render
    0.55
     Rens
    0.53
     betweenstory
    0.52
     Rena
    0.51
    Rena
    0.51
     Renata
    0.51
    Activations Density 0.175%

    No Known Activations