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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. MLP Out - 16k
    5. 1-GEMMASCOPE-MLP-16K
    6. 8841
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    Explanations

    terms related to hospitals and hospitalization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_1/width_16k/average_l0_105
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_mlp_out
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hospital
    -2.20
     Hospital
    -1.98
    Hospital
    -1.90
    hospital
    -1.88
     HOSPITAL
    -1.71
     hospitals
    -1.63
     Hospitals
    -1.48
     hospitales
    -1.25
     Krankenhaus
    -1.24
    Hospitals
    -1.16
    POSITIVE LOGITS
    localctx
    0.70
    AutoScaleMode
    0.69
     IndexPath
    0.65
     vPvB
    0.58
    ']))
    
    0.57
    mybatisplus
    0.57
    AutoScale
    0.57
    })->
    0.55
     nahilalakip
    0.54
    رشف
    0.54
    Activations Density 0.149%

    No Known Activations