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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11853
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    terms related to health care accessibility and quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.49
     intStringLen
    -0.45
    transQ
    -0.45
    ulemon
    -0.44
    ViewImports
    -0.44
    sidemargin
    -0.43
     egna
    -0.42
     transfieras
    -0.41
    parsedMessage
    -0.41
     comunicar
    -0.41
    POSITIVE LOGITS
     care
    1.46
    care
    1.12
     healthcare
    1.07
     Care
    1.00
    Care
    0.91
     cares
    0.87
    healthcare
    0.85
     CARE
    0.80
     Healthcare
    0.75
     cared
    0.75
    Activations Density 0.509%

    No Known Activations