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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12034
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    INDEX
    Explanations

    references to concrete materials and constructions

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

    cement and construction materials

    np_acts-logits-general · gemini-2.0-flash

    concrete

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.91
     onOptions
    -0.77
    CodeAttribute
    -0.65
     ujednoznacz
    -0.65
     незавершена
    -0.64
    rungsseite
    -0.63
     Administrativna
    -0.63
    باردا
    -0.62
    ValueStyle
    -0.61
    verifyException
    -0.61
    POSITIVE LOGITS
     concrete
    1.83
    concrete
    1.70
    Concrete
    1.68
     Concrete
    1.68
     CONCRETE
    1.60
     hormigón
    1.20
     béton
    1.19
     concreto
    1.17
     concret
    1.14
     cement
    1.13
    Activations Density 0.173%

    No Known Activations