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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. 1062
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    Explanations

    references to the word "ra" 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 @ 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
     izdel
    -0.39
     podjet
    -0.35
     câte
    -0.33
    odziel
    -0.33
     Colombie
    -0.31
     cheminée
    -0.30
    unanje
    -0.29
    ībā
    -0.29
    makaian
    -0.29
    InjectMocks
    -0.29
    POSITIVE LOGITS
     ra
    2.42
     Ra
    2.03
    Ra
    1.90
     Rac
    1.81
     RA
    1.81
     ра
    1.74
    ra
    1.71
     RAC
    1.71
     Rak
    1.67
     rac
    1.66
    Activations Density 0.790%

    No Known Activations