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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. 7644
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    terms related to rail infrastructure and locomotives

    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
    tagHelperRunner
    -0.87
    ContentAsync
    -0.81
    AnchorStyles
    -0.77
    EndContext
    -0.74
    crollView
    -0.70
    ImageContext
    -0.70
    VersionUID
    -0.70
    Архівовано
    -0.69
     StringTokenizer
    -0.68
    #+#
    -0.67
    POSITIVE LOGITS
    لاثة
    0.47
     patru
    0.43
     Winfield
    0.43
    僚
    0.42
     bapt
    0.42
     parco
    0.42
     verke
    0.41
    thâu
    0.41
     sempat
    0.40
    }}],
    0.40
    Activations Density 0.245%

    No Known Activations