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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 12357
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    INDEX
    Explanations

    references to medical institutions and studies related to strokes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Korean names, locations, and language

    np_acts-logits-general · gemini-2.0-flash

    Korean names and places

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lenker
    -0.68
    Tikang
    -0.62
    })->
    -0.60
    ]")]
    -0.60
     betweenstory
    -0.53
     Volu
    -0.52
    uoco
    -0.52
     Ashby
    -0.51
     Guernsey
    -0.51
     XT
    -0.49
    POSITIVE LOGITS
     Korea
    1.38
     Korean
    1.38
     Seoul
    1.26
    Korean
    1.19
    Korea
    1.16
     korean
    1.08
     Koreans
    1.08
    Seoul
    1.05
     korea
    1.01
     Busan
    1.00
    Activations Density 0.246%

    No Known Activations