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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8431
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    Explanations

    discussions about food and meals, particularly school lunches and lunches brought from home

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Items that people bring

    np_acts-logits-general · gemini-2.0-flash

    bringing an item

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.58
    enne
    -0.52
    ształ
    -0.49
     snippetHide
    -0.48
    ftagPool
    -0.48
     zufrieden
    -0.48
    atguigu
    -0.48
     geçti
    -0.47
    belongsTo
    -0.46
    WriteBarrier
    -0.46
    POSITIVE LOGITS
     bring
    2.73
     Bring
    2.66
    Bring
    2.61
     bringing
    2.54
    bring
    2.46
     brought
    2.42
     Bringing
    2.36
     brings
    2.35
    bringing
    2.31
     BRING
    2.30
    Activations Density 0.224%

    No Known Activations