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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8054
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    references to medical contexts or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.44
    ImageContext
    -0.43
    litian
    -0.42
    省市镇
    -0.41
    irtschaft
    -0.40
     typelib
    -0.39
     barat
    -0.38
     TERMIN
    -0.38
    ksikon
    -0.37
    ViewChild
    -0.37
    POSITIVE LOGITS
    /**
    0.54
     Med
    0.51
     med
    0.45
    ulla
    0.45
    AnchorStyles
    0.44
    /*
    0.44
    ically
    0.42
    Med
    0.42
     otomatig
    0.41
    OGND
    0.41
    Activations Density 0.302%

    No Known Activations