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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 20-GEMMASCOPE-RES-16K
    6. 15731
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    INDEX
    Explanations

    phrases related to workout routines and fat burning

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

    Burning calories, fat, or energy

    np_acts-logits-general · gemini-2.0-flash

    calorie burn

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.51
     }))
    -0.51
    øver
    -0.49
     ]
    
    -0.49
    FontOfSize
    -0.49
    chromedriver
    -0.48
     }}"></
    -0.48
    PhysRevD
    -0.45
    principalTable
    -0.45
    SharedDtor
    -0.44
    POSITIVE LOGITS
     burn
    1.26
     burning
    1.11
     BURN
    1.03
     Burn
    1.02
     burns
    0.99
    burn
    0.98
    Burn
    0.97
    BURN
    0.94
     queima
    0.92
     quema
    0.92
    Activations Density 0.103%

    No Known Activations