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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14930
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    Explanations

    references to concrete and cement materials

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

    "concrete" or related terms

    np_acts-logits-general · gemini-2.0-flash

    concrete and cementation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     незавершена
    -0.66
    XmlAccessType
    -0.64
     réve
    -0.61
     éto
    -0.60
     démission
    -0.57
     sauvages
    -0.57
     magnético
    -0.55
     vård
    -0.55
     nettoy
    -0.54
     Sterne
    -0.54
    POSITIVE LOGITS
     concrete
    1.22
     Concrete
    1.05
    concrete
    0.98
    Concrete
    0.95
     CONCRETE
    0.92
     concreto
    0.88
     concret
    0.87
     Beton
    0.82
     mix
    0.82
     beton
    0.82
    Activations Density 0.177%

    No Known Activations