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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4098
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    Explanations

    references to specific Lego models and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Filmografie
    -0.54
    
    -0.42
    存于互联网档案馆
    -0.41
    devise
    -0.41
     gehad
    -0.40
    adhi
    -0.40
     useAppContext
    -0.40
    tip
    -0.40
     knock
    -0.39
    )_/¯
    -0.39
    POSITIVE LOGITS
     LEGO
    0.73
    LEGO
    0.69
     Lego
    0.67
    Lego
    0.65
     lego
    0.57
    Personendaten
    0.53
    lego
    0.53
    RTEE
    0.46
     ""],
    0.46
    ьаж
    0.43
    Activations Density 0.177%

    No Known Activations