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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 36-GEMMASCOPE-RES-16K
    6. 11887
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    proper nouns, particularly names and titles associated with characters or historical figures

    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
     Berto
    -0.54
    UrlResolution
    -0.54
    volent
    -0.52
     holl
    -0.52
     impre
    -0.50
     omnis
    -0.49
     carto
    -0.49
     morn
    -0.49
     Tarzan
    -0.49
     Maced
    -0.48
    POSITIVE LOGITS
     intéressante
    0.47
     positivas
    0.45
     étoit
    0.44
     médicas
    0.43
     fija
    0.42
     fijo
    0.40
     avoient
    0.40
     europeos
    0.40
     négatif
    0.40
     imprimée
    0.40
    Activations Density 0.569%

    No Known Activations