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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. 6566
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    Explanations

    clinical terms and biomarkers related to heart and liver health

    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
    出版年
    -0.72
     lenker
    -0.50
     fotográfico
    -0.50
    bootstrapcdn
    -0.49
    AutoScaleMode
    -0.48
     Italij
    -0.46
     defStyle
    -0.45
     tartalomajánló
    -0.44
     otomatig
    -0.44
    posedge
    -0.44
    POSITIVE LOGITS
     serum
    0.98
     Serum
    0.86
     blood
    0.79
    Serum
    0.75
    serum
    0.74
     plasma
    0.68
     levels
    0.65
     markers
    0.63
    blood
    0.62
     biomarkers
    0.62
    Activations Density 1.906%

    No Known Activations