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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15591
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    specific tools and their applications in cleaning and beauty contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enterOuterAlt
    -0.72
    setVerticalGroup
    -0.54
    
    -0.53
    stateMutability
    -0.51
     disambiguazione
    -0.50
    PyTuple
    -0.49
    addContainerGap
    -0.47
     estekak
    -0.46
    extAlignment
    -0.46
    osoever
    -0.46
    POSITIVE LOGITS
     brush
    1.49
     Brush
    1.29
     brushes
    1.27
    Brush
    1.21
     brushing
    1.17
    brush
    1.16
     Brushes
    0.99
     cepillo
    0.98
    brushes
    0.96
    ブラシ
    0.95
    Activations Density 0.255%

    No Known Activations