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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10488
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    detect medical terminology related to cancer and associated diagnostics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     heilig
    -0.41
     creó
    -0.38
     við
    -0.38
     ejus
    -0.37
    swagger
    -0.37
    buttonShape
    -0.37
     McCormack
    -0.37
    association
    -0.37
     hábit
    -0.36
    thode
    -0.35
    POSITIVE LOGITS
    featureID
    0.57
    ting
    0.53
     mol
    0.53
     ModelRenderer
    0.52
     swelling
    0.52
    mol
    0.50
    RTGC
    0.48
    hen
    0.48
    ErrUnexpectedEOF
    0.48
     organ
    0.47
    Activations Density 1.498%

    No Known Activations