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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. 945
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    Explanations

    names of people and characters in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Visser
    -0.49
     "
    -0.48
     “
    -0.46
     Busse
    -0.45
     Olsson
    -0.45
     Espinoza
    -0.44
     […]
    -0.44
     Carrasco
    -0.43
     Vázquez
    -0.42
     Schäfer
    -0.42
    POSITIVE LOGITS
     betweenstory
    0.50
    MessageTagHelper
    0.46
     שוליים
    0.45
    ########.
    0.44
    SPATH
    0.42
     GenerationType
    0.42
     ApiService
    0.41
    extAlignment
    0.40
    merate
    0.40
    BibitemShut
    0.40
    Activations Density 1.134%

    No Known Activations