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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. 9770
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    Explanations

    popular names of films and their categorizations, along with mentions of conditions related to health

    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
     którzy
    -0.60
     каждом
    -0.57
    Два
    -0.54
     derniers
    -0.52
     ktorí
    -0.52
     jedem
    -0.52
     juos
    -0.51
     situés
    -0.50
     каждого
    -0.48
     Один
    -0.48
    POSITIVE LOGITS
    Elles
    1.00
     Elles
    0.91
     celles
    0.89
     lesquelles
    0.85
    她们
    0.84
     elles
    0.80
     kurios
    0.75
    她們
    0.74
     éstas
    0.73
     ellas
    0.73
    Activations Density 0.133%

    No Known Activations