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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. 3201
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    proper nouns, particularly names and titles

    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
     vzd
    -0.54
     médicaux
    -0.51
     inalámbrica
    -0.50
     funcionales
    -0.50
     hmot
    -0.50
    TagMode
    -0.49
     obě
    -0.49
     økonom
    -0.49
     normalidad
    -0.49
     illustrationer
    -0.49
    POSITIVE LOGITS
    脚注の使い方
    0.73
    Hentet
    0.68
    OGND
    0.63
     utafitiHapana
    0.63
     snippetHide
    0.60
    ########.
    0.59
    posedge
    0.57
     estekak
    0.54
    afficheront
    0.54
    onViewCreated
    0.54
    Activations Density 0.424%

    No Known Activations