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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 1346
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    INDEX
    Explanations

    phrases related to locations and specific geographical features

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

    port cities and coasts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    calientes
    -0.56
     Phry
    -0.51
     Cusco
    -0.47
     Kigali
    -0.46
    icestershire
    -0.45
     altitude
    -0.44
     Cordillera
    -0.44
    ácara
    -0.43
     Chengdu
    -0.43
    FromNib
    -0.43
    POSITIVE LOGITS
     coastal
    1.20
     port
    1.13
     beach
    1.12
     coastline
    1.07
     seaside
    1.06
     Coastal
    1.03
     ports
    1.02
     waterfront
    0.98
     marine
    0.98
     Port
    0.97
    Activations Density 0.145%

    No Known Activations