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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11662
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    Explanations

    terms related to hospital care and patient medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.69
    Personendaten
    -0.61
    complexContent
    -0.57
    الحياه
    -0.54
    ########.
    -0.52
     Exacts
    -0.51
     AssemblyCulture
    -0.51
    Portale
    -0.51
    prüche
    -0.51
     Walkover
    -0.50
    POSITIVE LOGITS
     hospital
    1.30
     Hospital
    1.14
    Hospital
    1.10
    hospital
    1.08
     hospitals
    1.06
     HOSPITAL
    0.96
     Hospitals
    0.90
     hospitalized
    0.86
    Hospitals
    0.85
     szpital
    0.82
    Activations Density 0.611%

    No Known Activations