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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8679
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    references to organization names and their leadership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GenerationType
    -0.66
    ]")]
    -0.60
     numberOfRows
    -0.57
     GenerationType
    -0.56
    ´)
    -0.56
    BagConstraints
    -0.53
     ComVisible
    -0.53
    tų
    -0.52
    !*\
    -0.52
    rouvez
    -0.52
    POSITIVE LOGITS
    发表于
    0.79
     kaarangay
    0.64
    saraba
    0.63
     başar
    0.55
     provar
    0.55
    charm
    0.55
    InteropServices
    0.54
    chants
    0.54
     cooperated
    0.54
     témo
    0.52
    Activations Density 0.104%

    No Known Activations