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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 7351
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    Explanations

    information related to public transportation stations and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.71
    脚注の使い方
    -0.69
    aarrggbb
    -0.67
    WithIOException
    -0.67
    rungsseite
    -0.63
     ويكيميديا
    -0.62
    XmlAccessType
    -0.59
     BoxFit
    -0.59
    PerformLayout
    -0.58
    atrician
    -0.56
    POSITIVE LOGITS
     train
    1.50
     trains
    1.42
     subway
    1.34
     station
    1.28
    train
    1.28
     rail
    1.24
     Train
    1.23
     stations
    1.20
     Trains
    1.19
    Train
    1.19
    Activations Density 0.182%

    No Known Activations