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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 6469
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    Explanations

    specific locations and affiliations of individuals, particularly related to Seattle and its sports or healthcare sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osun
    -0.50
     Bermuda
    -0.48
     galinha
    -0.44
    Bermuda
    -0.44
     Derbyshire
    -0.43
     оригіналу
    -0.43
     Ekiti
    -0.42
     Chesterfield
    -0.41
     Agrawal
    -0.41
    Égypte
    -0.41
    POSITIVE LOGITS
     Seattle
    2.05
    Seattle
    1.90
     Puget
    1.64
     Tacoma
    1.53
     Spokane
    1.48
    seattle
    1.38
     Oregon
    1.34
     Vancouver
    1.30
    Oregon
    1.27
     Yakima
    1.27
    Activations Density 0.326%

    No Known Activations