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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8284
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    Explanations

    terms related to layered structures and composite materials

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

    wood or trees

    np_acts-logits-general · gemini-2.0-flash

    wood and related materials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addCriterion
    -0.42
     désolés
    -0.39
     asfalto
    -0.37
    isenberg
    -0.36
     calldata
    -0.34
    HtmlAttribute
    -0.33
    pios
    -0.33
    bubble
    -0.33
    WriteTagHelper
    -0.33
     Ciro
    -0.33
    POSITIVE LOGITS
     wood
    1.38
     woodworking
    1.23
     wooden
    1.15
     Wood
    1.12
     Wooden
    1.08
     legno
    1.06
    Wood
    1.05
     madera
    1.05
    wooden
    1.04
     hardwood
    1.04
    Activations Density 0.192%

    No Known Activations