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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8580
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    Explanations

    terms related to fat and its biochemical aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 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
    lioz
    -0.55
    ussis
    -0.53
     Regis
    -0.50
     Arkham
    -0.46
    nodoc
    -0.45
    Forte
    -0.45
    ROUTINE
    -0.44
     Tori
    -0.44
    SharedDtor
    -0.43
    anueva
    -0.42
    POSITIVE LOGITS
     fat
    0.72
    fat
    0.60
     Fat
    0.56
    Fat
    0.55
    脂
    0.54
     lipid
    0.52
     lemak
    0.50
     sukker
    0.50
    CY
    0.49
     CY
    0.49
    Activations Density 1.913%

    No Known Activations