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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7542
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    Explanations

    terms related to accuracy and thoroughness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İstinadlar
    -0.59
    原始内容存档于
    -0.59
     ddelweddau
    -0.56
     FontWeight
    -0.55
     viewType
    -0.54
     pinulongan
    -0.51
    orianCalendar
    -0.51
     iprot
    -0.51
    й
    -0.50
    ***************/
    -0.49
    POSITIVE LOGITS
     accurate
    1.37
    accurate
    1.31
     Accurate
    1.27
    Accurate
    1.24
     accurately
    1.08
     inaccurate
    0.94
     realistic
    0.89
     ACCUR
    0.83
     Thorough
    0.83
     thorough
    0.81
    Activations Density 0.050%

    No Known Activations