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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5565
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    Explanations

    discussions about treatment strategies and modalities for various medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "treatment"

    np_acts-logits-general · gemini-2.0-flash

    medical treatment

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gevens
    -0.53
     transparencia
    -0.52
     compleanno
    -0.52
     popularidad
    -0.51
    pantalón
    -0.50
     Vordergrund
    -0.50
    umumkan
    -0.49
     näky
    -0.49
    mögens
    -0.48
    ungkinkan
    -0.48
    POSITIVE LOGITS
     treatment
    1.81
     Treatment
    1.72
    treatment
    1.70
    Treatment
    1.69
     TREATMENT
    1.50
     treatments
    1.46
     Treatments
    1.41
    Treatments
    1.37
     Treat
    1.30
    treat
    1.30
    Activations Density 0.317%

    No Known Activations