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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 12376
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    Explanations

    references to exercise and physical activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.63
    Personendaten
    -0.57
     disambiguazione
    -0.56
    AISSEE
    -0.52
    TypedDataSet
    -0.49
    annica
    -0.48
    RUnlock
    -0.45
    Xna
    -0.45
    EDEFAULT
    -0.45
    tagHelperRunner
    -0.44
    POSITIVE LOGITS
     Which
    0.70
    Which
    0.61
     exercise
    0.56
     guess
    0.51
     Where
    0.51
     exercises
    0.50
     fubject
    0.49
     thereof
    0.48
     backing
    0.46
     Guess
    0.46
    Activations Density 0.118%

    No Known Activations