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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 12316
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    references to lakes and bodies of water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    #+#
    -0.78
     Tarragona
    -0.68
     scrapy
    -0.68
    ギー
    -0.67
    DHL
    -0.67
    wur
    -0.65
    MENAFN
    -0.64
     SDLK
    -0.63
     Wolverhampton
    -0.63
    aterin
    -0.62
    POSITIVE LOGITS
     lake
    1.79
     Lake
    1.73
     lakes
    1.72
    Lake
    1.62
     LAKE
    1.57
    lake
    1.44
     Lakes
    1.43
    Lakes
    1.42
    lakes
    1.28
    湖
    1.27
    Activations Density 0.385%

    No Known Activations