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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 1485
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    Explanations

    terms related to specific medical conditions and treatments

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

    similar to "ran" or "gan"

    np_acts-logits-general · gemini-2.0-flash

    ran, tan, gan, fan words

    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
     protoimpl
    -0.73
     Correia
    -0.72
    entreprises
    -0.71
    AddWithValue
    -0.70
    ">//
    -0.68
    dhism
    -0.68
    NOPQRST
    -0.67
    riguez
    -0.66
    ViewStyle
    -0.65
     getResource
    -0.65
    POSITIVE LOGITS
    ran
    0.92
    zan
    0.86
    jan
    0.81
    fan
    0.80
    anan
    0.78
    lan
    0.78
    van
    0.75
    ZAN
    0.75
    Saman
    0.74
     ran
    0.74
    Activations Density 0.549%

    No Known Activations