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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14181
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    Explanations

    geographical locations and references related to maritime activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kigali
    -0.44
    
    -0.43
     Marrakech
    -0.42
     Chengdu
    -0.40
    jonal
    -0.40
     Mend
    -0.39
    雁
    -0.38
     Ankara
    -0.36
     Macon
    -0.36
    émoc
    -0.36
    POSITIVE LOGITS
     peninsula
    0.68
     port
    0.68
     maritime
    0.66
     Port
    0.62
     Peninsula
    0.61
     puertos
    0.60
     Harbor
    0.59
     marins
    0.59
     seawater
    0.59
    Maritime
    0.59
    Activations Density 0.434%

    No Known Activations