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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. 3414
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    Explanations

    references to awards and achievements

    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
     alguien
    -0.47
     candidates
    -0.44
    IsRequired
    -0.44
     applicants
    -0.43
     someone
    -0.42
     bénéficiaire
    -0.42
     qualcuno
    -0.42
    Erstellt
    -0.41
     candidats
    -0.41
     alguém
    -0.40
    POSITIVE LOGITS
     certificates
    0.82
     medals
    0.82
     certificate
    0.78
     badges
    0.77
     diplomas
    0.75
     trophies
    0.75
     accolades
    0.73
     awards
    0.73
     laurels
    0.72
     coveted
    0.71
    Activations Density 0.336%

    No Known Activations