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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5957
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    Explanations

    sentences discussing good and bad choices or situations

    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
     relever
    -0.31
    ỡng
    -0.30
     Bias
    -0.30
    帖最后由
    -0.29
    MenuInflater
    -0.29
     XCTest
    -0.28
     تنا
    -0.28
    最快更新
    -0.28
    ///</
    -0.28
    Bronnen
    -0.28
    POSITIVE LOGITS
     bad
    3.31
    bad
    2.83
    Bad
    2.70
     Bad
    2.63
     BAD
    2.56
    BAD
    2.34
     mauvais
    2.02
     kötü
    1.99
     schlechte
    1.98
     mauvaise
    1.93
    Activations Density 0.865%

    No Known Activations