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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. 11016
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    INDEX
    Explanations

    occurrences of the word "quick" and related phrases emphasizing speed and efficiency

    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
    RTGC
    -0.55
    endpush
    -0.50
    󠁮
    -0.46
    {}".
    -0.45
     slowly
    -0.44
     colgantes
    -0.44
    spesies
    -0.44
    {}",
    -0.44
     intptr
    -0.44
    vės
    -0.44
    POSITIVE LOGITS
    quick
    0.74
    Quick
    0.72
     Quick
    0.71
    QUICK
    0.70
     chóng
    0.65
     quick
    0.65
     QUICK
    0.63
     turnaround
    0.61
     paced
    0.58
    fire
    0.57
    Activations Density 0.163%

    No Known Activations