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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 2558
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    Explanations

    cooking ingredients and their quantities

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

    Text or names followed by initials (one or two letters)

    np_acts-logits-general · gemini-2.0-flash

    `Ma`, `Mac`, `Liv`, `Liu`, `Li`, `MEG`, `KR`, `next`

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    بوابة
    -0.54
    erdo
    -0.52
    SpringBootTest
    -0.50
    ptonshire
    -0.50
    chowa
    -0.48
    DeleteBehavior
    -0.48
     ensaio
    -0.48
    getElementById
    -0.48
    Gail
    -0.48
    EMP
    -0.47
    POSITIVE LOGITS
     ma
    0.63
     Ma
    0.62
     Macdonald
    0.58
     macro
    0.55
     Mac
    0.55
     Le
    0.55
    Mac
    0.55
    Ma
    0.54
     MA
    0.53
    Lucky
    0.53
    Activations Density 0.126%

    No Known Activations