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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 85343
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    Explanations

    experiences related to hospital visits and medical conditions

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

    at the hospital bedside

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    لينكات
    -0.41
    hidupan
    -0.36
    กลาง
    -0.36
    iais
    -0.36
     eens
    -0.35
    WriteBarrier
    -0.34
     stof
    -0.34
     Whiting
    -0.34
    Curi
    -0.34
    inario
    -0.34
    POSITIVE LOGITS
     bedside
    0.95
     vigil
    0.63
    陪伴
    0.56
     accompany
    0.56
     مشين
    0.55
     visitation
    0.55
     presence
    0.54
     hospital
    0.54
    fitrión
    0.54
     nursing
    0.51
    Activations Density 0.016%

    No Known Activations