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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8600
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    INDEX
    Explanations

    descriptions of living spaces and furniture

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

    Followed by interior-related words

    np_acts-logits-general · gemini-2.0-flash

    interior spaces and furniture

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riturismo
    -0.37
     campus
    -0.36
     Ausland
    -0.35
    Communities
    -0.34
     recette
    -0.34
     désolés
    -0.34
     Fuhr
    -0.33
     sensitivity
    -0.33
     campuses
    -0.33
     Zuhause
    -0.33
    POSITIVE LOGITS
     walls
    0.84
     floor
    0.80
     couches
    0.79
     wall
    0.79
     ceiling
    0.78
     chairs
    0.77
     sofas
    0.75
     tables
    0.74
     seating
    0.73
     shelves
    0.72
    Activations Density 0.325%

    No Known Activations