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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2220
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    Explanations

    references to steel and its uses in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.67
     initComponents
    -0.52
    出版年
    -0.50
     Geſ
    -0.49
     diría
    -0.49
    postsleuth
    -0.48
    Externé
    -0.47
    desertcart
    -0.47
     recaudación
    -0.47
    UrlResolution
    -0.47
    POSITIVE LOGITS
     multiple
    0.55
     kelly
    0.53
    Steel
    0.52
    Kelly
    0.52
     Kelly
    0.52
     steel
    0.51
     Multiple
    0.50
    Multiple
    0.49
    +#+#
    0.48
    tiple
    0.48
    Activations Density 0.138%

    No Known Activations