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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1848
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    references to notable individuals in education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SerializedName
    -0.49
     Tübingen
    -0.47
     jLabel
    -0.45
     disambiguazione
    -0.45
    ‍♀
    -0.41
    adalajara
    -0.40
     oreille
    -0.40
    Gosh
    -0.39
    prechpartner
    -0.38
    chaffung
    -0.38
    POSITIVE LOGITS
     NYC
    1.63
    NYC
    1.52
     Manhattan
    1.39
     NYPD
    1.39
     NY
    1.39
    nyc
    1.34
    NY
    1.33
     nyc
    1.29
    纽约
    1.26
    Manhattan
    1.23
    Activations Density 0.733%

    No Known Activations