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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7498
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    references to cities and their associated costs of living and amenities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Müller
    -0.22
     Investigación
    -0.22
    getattr
    -0.22
     yapılan
    -0.21
    findung
    -0.21
    fwrite
    -0.20
    ็ก
    -0.20
     Schäfer
    -0.20
    namespace
    -0.20
     प्र
    -0.20
    POSITIVE LOGITS
     Toronto
    1.84
     London
    1.79
     Mumbai
    1.73
     Chicago
    1.72
     Bangkok
    1.70
     Tokyo
    1.66
     Dublin
    1.64
     Nairobi
    1.64
     Atlanta
    1.63
     Jakarta
    1.63
    Activations Density 1.632%

    No Known Activations