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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9070
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    Explanations

    technical language related to algorithms and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.78
     feroit
    -0.64
     queſta
    -0.60
     utafitiHapana
    -0.58
     للاسماء
    -0.58
    antMatchers
    -0.55
    windowFixed
    -0.55
    NameInMap
    -0.54
    protoimpl
    -0.54
    RTEE
    -0.54
    POSITIVE LOGITS
     method
    0.70
     methods
    0.63
     version
    0.58
     implementation
    0.56
     strategy
    0.56
     techniques
    0.55
     algorithm
    0.55
     technique
    0.54
     modified
    0.51
    strategy
    0.51
    Activations Density 1.790%

    No Known Activations