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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15895
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    Explanations

    proper nouns, particularly names of individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Converse
    -0.77
     Mahomet
    -0.76
     Bastille
    -0.75
     Rango
    -0.67
     calvin
    -0.65
     Hanford
    -0.65
     Bellingham
    -0.64
     guineas
    -0.62
     Crusoe
    -0.62
     Parthen
    -0.61
    POSITIVE LOGITS
     Schulte
    1.74
     Schmitz
    1.74
     Scherer
    1.68
     Baumann
    1.66
     Monteiro
    1.65
     Nowak
    1.64
     Kowal
    1.56
     Christiansen
    1.55
     Schmid
    1.55
     Schulze
    1.55
    Activations Density 2.593%

    No Known Activations