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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2938
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    Explanations

    the word "having" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 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
    Хьажоргаш
    -0.76
    Попис
    -0.66
     gynhyrchwyd
    -0.65
    SharedDtor
    -0.65
    DockStyle
    -0.64
     purpoſe
    -0.64
     ſche
    -0.63
     StatelessWidget
    -0.60
     مشين
    -0.60
    tagHelperRunner
    -0.59
    POSITIVE LOGITS
     having
    2.06
    having
    1.89
     имеет
    1.88
     tiene
    1.85
    have
    1.80
     memiliki
    1.79
     had
    1.75
    有
    1.73
    มี
    1.72
     have
    1.71
    Activations Density 0.894%

    No Known Activations