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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 131k
    9. 24-GEMMASCOPE-RES-131K
    11. 1300
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    INDEX
    Explanations

    references to landscapes and natural elements

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

    mountains, rivers, forests, wilderness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_131k/average_l0_97
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Athenian
    -0.42
     Matrix
    -0.38
    脱
    -0.38
     GoogleFonts
    -0.38
    Ordered
    -0.37
    Jörg
    -0.37
    URBANA
    -0.37
     Matteo
    -0.37
     hand
    -0.37
     Adam
    -0.35
    POSITIVE LOGITS
     Picchu
    0.67
    EndContext
    0.56
    ніципалі
    0.56
    InputBorder
    0.54
    ConstraintMaker
    0.51
    InitVars
    0.49
     BitmapFactory
    0.48
    AsUp
    0.47
     forests
    0.46
     volcanoes
    0.46
    Activations Density 0.022%

    No Known Activations