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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15614
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    Explanations

    references to different types of meals and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 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
     
    -0.70
     des
    -0.66
     de
    -0.61
    ,
    -0.61
     to
    -0.60
     der
    -0.59
     a
    -0.56
     en
    -0.53
     vi
    -0.53
     ta
    -0.52
    POSITIVE LOGITS
     itſelf
    1.25
     photolibrary
    1.18
    
    1.13
     myſelf
    1.11
     moschino
    1.09
     doubtnut
    1.07
     Monfieur
    1.07
    dinner
    1.06
     Efq
    1.04
     dinner
    1.04
    Activations Density 0.148%

    No Known Activations