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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 822
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.50
     {}));
    -0.40
     Giving
    -0.37
    forRoot
    -0.36
     wens
    -0.35
    êcher
    -0.34
    sidemargin
    -0.34
    原始内容存档于
    -0.33
    Giving
    -0.33
    ')):
    -0.33
    POSITIVE LOGITS
     assistance
    1.81
     help
    1.54
    assistance
    1.41
     support
    1.40
     guidance
    1.39
     ayuda
    1.24
     Hilfe
    1.23
     hjälp
    1.23
     bantuan
    1.23
    help
    1.22
    Activations Density 0.861%

    No Known Activations