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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 11209
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    Explanations

    references to wooden products and their attributes

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

    Types of wood and woodworking

    np_acts-logits-general · gemini-2.0-flash

    types of wood

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.95
    findpost
    -0.71
    ReusableCell
    -0.71
    ConstraintMaker
    -0.70
    lgari
    -0.65
     doInBackground
    -0.62
    protoimpl
    -0.59
     Renal
    -0.59
     adipis
    -0.57
     renal
    -0.56
    POSITIVE LOGITS
     wood
    1.93
     Wood
    1.62
    wood
    1.55
    Wood
    1.54
     WOOD
    1.50
     timber
    1.46
    WOOD
    1.43
     wooden
    1.40
    木材
    1.34
     hardwood
    1.29
    Activations Density 0.205%

    No Known Activations