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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 13244
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    Explanations

    mentions of dining experiences or food-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bonté
    -0.40
     cellspacing
    -0.38
     demikian
    -0.38
     dada
    -0.37
    CppMethod
    -0.36
    เว
    -0.36
    Ergebnisse
    -0.36
     unicórnio
    -0.36
     reverses
    -0.36
     IMPLEMENTATION
    -0.34
    POSITIVE LOGITS
     dose
    0.74
     cup
    0.73
     pint
    0.67
     stroll
    0.66
     slice
    0.63
     quick
    0.62
     afternoon
    0.60
     bowl
    0.60
     meal
    0.58
     visit
    0.58
    Activations Density 0.267%

    No Known Activations