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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 14753
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    Explanations

    occurrences of names and proper nouns, particularly in academic or formal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surpresa
    -0.61
    secuencias
    -0.60
     myſelf
    -0.60
     שוליים
    -0.58
     Reſ
    -0.56
     itſelf
    -0.55
    müş
    -0.55
     juſ
    -0.54
     himſelf
    -0.54
     uſe
    -0.54
    POSITIVE LOGITS
    InjectAttribute
    0.49
    ly
    0.48
    MigrationBuilder
    0.48
    tonode
    0.46
     GenerationType
    0.45
    able
    0.43
    +#+#
    0.38
    StoryboardSegue
    0.38
     onPostExecute
    0.38
    原始内容存档于
    0.36
    Activations Density 0.917%

    No Known Activations