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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8432
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    Explanations

    references to meals, particularly dinner and lunch-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    تقاوى
    -0.47
    évaluateur
    -0.45
    Хьажоргаш
    -0.44
     ambientale
    -0.40
    InjectAttribute
    -0.39
    $_['
    -0.39
     Coolidge
    -0.38
    ientôt
    -0.38
    masing
    -0.37
     Obispo
    -0.37
    POSITIVE LOGITS
     served
    0.69
     eaten
    0.63
    🍽
    0.60
     cooked
    0.60
    time
    0.60
    🍴
    0.59
     Served
    0.59
    Served
    0.58
    served
    0.56
     prepared
    0.53
    Activations Density 0.128%

    No Known Activations