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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2300
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    Explanations

    terms related to athletes and their achievements in competitive sports

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

    Initials followed by a comma

    np_acts-logits-general · gemini-2.0-flash

    Indian places and names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UnsafeEnabled
    -0.72
    Autoritní
    -0.67
    MENAFN
    -0.67
     мәкал
    -0.64
     Ino
    -0.60
     Paso
    -0.57
    Personensuche
    -0.56
    VIAF
    -0.56
    RTLD
    -0.55
    SerializedSize
    -0.55
    POSITIVE LOGITS
     Kolkata
    1.01
     Calcutta
    0.95
     Bengal
    0.89
     Bengali
    0.87
    Kolkata
    0.86
     Chatterjee
    0.80
    olkata
    0.78
     Beng
    0.76
     beng
    0.74
     Bhattach
    0.70
    Activations Density 0.058%

    No Known Activations