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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3274
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    Explanations

    specific biographical details and achievements of individuals, particularly in sports and the arts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Jérusalem
    -0.60
     aislado
    -0.60
    tagHelperRunner
    -0.58
     Jerusalén
    -0.58
     Normdatei
    -0.56
    arraycopy
    -0.55
    WithEmail
    -0.55
     aislada
    -0.52
    onAttach
    -0.52
    ftagPool
    -0.51
    POSITIVE LOGITS
     Nancy
    0.37
     Tre
    0.35
     Lei
    0.34
     نزد
    0.33
     Latina
    0.33
    Nancy
    0.32
     Vib
    0.32
     lei
    0.32
    --}}
    0.32
     Le
    0.32
    Activations Density 0.294%

    No Known Activations