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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 9559
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    Explanations

    names of Italian footballers and details about their careers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endforeach
    -0.58
    Portail
    -0.56
    PositiveButton
    -0.53
     Baruch
    -0.52
    Hochspringen
    -0.51
     समीक्षाओं
    -0.51
     متعلقه
    -0.50
     noDo
    -0.49
    MLLoader
    -0.49
    viewDid
    -0.47
    POSITIVE LOGITS
     Italijanski
    0.59
     Conclusions
    0.51
     ner
    0.50
     squal
    0.48
     Under
    0.46
    Under
    0.45
    Conclusions
    0.44
    ValueGeneration
    0.44
    fossil
    0.44
    Daz
    0.44
    Activations Density 0.071%

    No Known Activations