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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 3340
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    Explanations

    connections to rehabilitation and healthcare facilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    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
    -0.48
    GEBURTSDATUM
    -0.42
    Personendaten
    -0.40
     spesa
    -0.33
     tersangka
    -0.33
     świą
    -0.33
    maksud
    -0.32
     acceso
    -0.32
     Stunde
    -0.31
     acessar
    -0.31
    POSITIVE LOGITS
     facility
    1.13
     facilities
    1.09
     nursing
    1.01
    facility
    0.99
     Facility
    0.98
    facilities
    0.95
    Facilities
    0.92
    Facility
    0.92
     Facilities
    0.91
     residential
    0.85
    Activations Density 0.347%

    No Known Activations