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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2696
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    Explanations

    references to differing types of fat content in food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stateProvider
    -0.63
    Rüyada
    -0.59
    帖最后由
    -0.58
    iostream
    -0.55
    ($__
    -0.53
    ällä
    -0.52
     circles
    -0.51
    ngdoc
    -0.50
    tilhar
    -0.50
     cliquant
    -0.49
    POSITIVE LOGITS
     configureStore
    0.68
     fat
    0.64
    ITHUB
    0.63
    AFFIRMED
    0.63
    enapa
    0.60
    Fat
    0.59
     diikuti
    0.59
     Conte
    0.58
     syn
    0.58
    Syn
    0.58
    Activations Density 0.225%

    No Known Activations