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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10603
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    Explanations

    medical conditions and patient experiences related to various health issues

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

    "Developed" or "suffered" followed by medical conditions

    np_acts-logits-general · gemini-2.0-flash

    patients developing conditions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ोंने
    -0.64
    asana
    -0.54
    giphy
    -0.52
    omorphology
    -0.47
    tagHelperRunner
    -0.47
    guided
    -0.47
    SAP
    -0.47
    enteuer
    -0.46
     froh
    -0.46
    ORAGE
    -0.45
    POSITIVE LOGITS
     developed
    1.24
     develop
    1.14
     suffered
    1.12
     develops
    1.07
    developed
    1.04
     suffer
    1.02
     experienced
    0.98
     developing
    0.96
     suffers
    0.95
     Developed
    0.95
    Activations Density 0.350%

    No Known Activations