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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10063
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    specific proper nouns and names related to people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ganda
    -0.44
     חיצוני
    -0.43
     neumáticos
    -0.41
     navideñas
    -0.39
     Pferd
    -0.39
    łas
    -0.37
     außen
    -0.37
     Pferde
    -0.36
     uñas
    -0.36
     Ecke
    -0.36
    POSITIVE LOGITS
    __":
    0.75
    __':
    0.68
    MarshalTo
    0.67
     snippetHide
    0.66
    DockStyle
    0.66
     ujednoznacz
    0.65
     ویکی‌پدی
    0.64
    webElementXpaths
    0.63
    ंदीखरीदारी
    0.62
    expandindo
    0.61
    Activations Density 0.857%

    No Known Activations