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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 3-GEMMASCOPE-RES-16K
    6. 8115
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    Explanations

    references to types of furniture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thermique
    -0.81
     oocytes
    -0.79
    seamnă
    -0.78
     Seeder
    -0.76
     soeur
    -0.75
     termica
    -0.75
     argint
    -0.74
     doInBackground
    -0.73
     abbond
    -0.73
     impunity
    -0.73
    POSITIVE LOGITS
     furniture
    3.04
     Furniture
    2.63
    Furniture
    2.52
    furniture
    2.40
     FURNITURE
    2.25
     furnishings
    1.92
     furn
    1.88
     Möbel
    1.88
     Furn
    1.74
     muebles
    1.58
    Activations Density 0.040%

    No Known Activations