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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. 11623
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    references to medical terminology and databases

    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
    ########.
    -0.49
     '{@
    -0.45
    OOTDTY
    -0.44
    litian
    -0.42
    ViewChild
    -0.42
     Tip
    -0.40
    hiding
    -0.40
     kasarigan
    -0.39
    ChildIndex
    -0.39
     esternos
    -0.39
    POSITIVE LOGITS
     Med
    0.49
    /**
    0.48
    /*
    0.45
     med
    0.44
    bootstrapcdn
    0.40
     medu
    0.40
     MED
    0.40
    Med
    0.40
     Medvedev
    0.39
    ibatis
    0.37
    Activations Density 0.182%

    No Known Activations