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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 2208
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    INDEX
    Explanations

    phrases and terms related to dining experiences and restaurant recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    after "will", "to", "we", or "she"

    np_acts-logits-general · gemini-2.0-flash

    bring or bring to

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snippetHide
    -0.63
     wireType
    -0.62
    \{\\
    -0.58
    RECIP
    -0.55
    ást
    -0.54
     prodotto
    -0.51
    ändigt
    -0.51
    veras
    -0.51
     kien
    -0.50
     gehad
    -0.50
    POSITIVE LOGITS
     bring
    1.05
     Bring
    0.95
    Bring
    0.95
     arrive
    0.94
     book
    0.93
    bring
    0.92
     bringing
    0.91
     arriving
    0.89
     brought
    0.86
     brings
    0.85
    Activations Density 0.177%

    No Known Activations