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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. 6110
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    Explanations

    references to different types of lamps 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 @ 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
     Drapeau
    -0.54
     mous
    -0.53
    eres
    -0.53
    conten
    -0.52
     Poste
    -0.51
    cock
    -0.50
     iti
    -0.50
     clas
    -0.49
     posi
    -0.49
    aute
    -0.49
    POSITIVE LOGITS
     Lam
    1.24
    Lam
    1.16
     lam
    1.00
     Lamb
    0.87
     Lambda
    0.85
     lambda
    0.84
    Lamb
    0.84
    Lambda
    0.81
     lamb
    0.81
    lamb
    0.79
    Activations Density 0.291%

    No Known Activations