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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7145
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    Explanations

    references to various types of pasta

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     queſta
    -0.67
    astify
    -0.65
    UrlResolution
    -0.62
     مرئيه
    -0.58
     EconPapers
    -0.56
     QLabel
    -0.56
    Manbalar
    -0.56
    phosa
    -0.56
    VolleyError
    -0.56
    +#+#
    -0.55
    POSITIVE LOGITS
     noodles
    0.70
     noodle
    0.68
     pasta
    0.63
     spaghetti
    0.62
     Pasta
    0.58
     Noodles
    0.58
     Spaghetti
    0.58
    Spaghetti
    0.51
    Pasta
    0.50
     Noodle
    0.44
    Activations Density 0.098%

    No Known Activations