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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. 8743
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    terms related to arsenic and heavy metals in various contexts

    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
     Mather
    -0.80
     Mara
    -0.79
     eventdata
    -0.79
    Mara
    -0.72
     Rim
    -0.72
     tē
    -0.70
     Arten
    -0.67
     Bis
    -0.67
    sym
    -0.66
     the
    -0.66
    POSITIVE LOGITS
     fevere
    1.17
     Jefus
    1.15
     myſelf
    1.11
     itſelf
    1.10
     neceff
    1.08
     Camilo
    1.07
     pleaſure
    1.05
     ſever
    1.03
     Leningrad
    0.99
    ...");
    0.98
    Activations Density 1.628%

    No Known Activations