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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7317
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    Explanations

    names of politicians and related political terms or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.50
    RTGC
    -0.46
    :✨
    -0.45
    PyExc
    -0.43
     ivelany
    -0.43
     onBind
    -0.43
    dição
    -0.37
     Италијани
    -0.36
     чере
    -0.36
    ajemen
    -0.35
    POSITIVE LOGITS
     parliament
    2.38
     Parliament
    2.36
     legislature
    2.11
    Parliament
    2.11
     legislators
    2.05
     Legislature
    2.02
     legislative
    1.98
     Congress
    1.94
     parliamentary
    1.94
     lawmakers
    1.92
    Activations Density 0.829%

    No Known Activations