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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 40-GEMMASCOPE-RES-16K
    6. 5430
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    Explanations

    critical comments about caching mechanisms and their effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     roze
    -0.38
     Portugu
    -0.38
     smtplib
    -0.36
    :✨
    -0.35
    ரிய
    -0.33
     bağ
    -0.33
    intios
    -0.33
     trouser
    -0.33
     kamp
    -0.31
     pistol
    -0.31
    POSITIVE LOGITS
     cache
    2.06
     Cache
    1.92
    cache
    1.75
    Cache
    1.71
     CACHE
    1.66
     caches
    1.64
     caching
    1.55
    getCache
    1.45
    CACHE
    1.45
     cached
    1.42
    Activations Density 0.832%

    No Known Activations