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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. 7060
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    Explanations

    the frequency of the term "many" in various contexts

    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
     étoient
    -0.89
     avoient
    -0.87
     feroit
    -0.86
     médec
    -0.79
     quæ
    -0.78
     auroit
    -0.76
     pitié
    -0.72
     fidé
    -0.72
     ainfi
    -0.72
     juger
    -0.71
    POSITIVE LOGITS
     wrong
    0.62
     المعيارى
    0.57
    wisata
    0.56
    ButtonItem
    0.55
     deb
    0.52
     Ches
    0.51
     deserved
    0.51
    tas
    0.50
     unmute
    0.50
     little
    0.50
    Activations Density 0.163%

    No Known Activations