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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 94118
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    INDEX
    Explanations

    references to concrete and cement materials

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    concrete structures and materials

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
    AddTagHelper
    -0.66
    middels
    -0.56
    aduras
    -0.49
     desmotivaciones
    -0.48
    AdapterView
    -0.47
    VertexAttrib
    -0.47
    heil
    -0.47
    rungsseite
    -0.47
     pinulongan
    -0.47
    gilan
    -0.46
    POSITIVE LOGITS
     concrete
    0.91
    concrete
    0.78
    Concrete
    0.77
     Concrete
    0.72
     CONCRETE
    0.71
     béton
    0.66
     cement
    0.65
     concreto
    0.63
     concre
    0.63
     beton
    0.62
    Activations Density 0.007%

    No Known Activations