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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 13878
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    terms related to muscle or musculoskeletal conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.74
    OGND
    -0.73
    StoryboardSegue
    -0.71
    IUrlHelper
    -0.71
    InjectAttribute
    -0.68
    HandlerContext
    -0.66
     TDA
    -0.65
     يتيمه
    -0.65
    sidemargin
    -0.64
    entile
    -0.64
    POSITIVE LOGITS
     Mus
    2.61
     mus
    2.47
    Mus
    2.36
     Mu
    2.12
    mus
    2.07
     mu
    2.00
    Mu
    1.92
     MUS
    1.92
    MUS
    1.72
     Му
    1.72
    Activations Density 0.246%

    No Known Activations