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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 6728
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    Explanations

    references to concrete and its applications or characteristics

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

    the word "concrete" (especially in technical or manufacturing contexts).

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408

    references to cementitious materials, including their products, companies, and processes within construction or engineering contexts.

    oai_token-act-pair · gpt-5Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.63
    AndEndTag
    -0.59
    StoryboardSegue
    -0.59
     MainAxisSize
    -0.57
    ernalia
    -0.55
    rungsseite
    -0.55
     arşivlendi
    -0.54
     ujednoznacz
    -0.53
     ویکی‌پدی
    -0.53
     OFDb
    -0.53
    POSITIVE LOGITS
     Concrete
    0.79
     CONCRETE
    0.79
     concrete
    0.77
    Concrete
    0.76
     hormigón
    0.71
     Cement
    0.69
    concrete
    0.68
     cement
    0.66
    Cement
    0.63
     béton
    0.62
    Activations Density 0.405%

    No Known Activations