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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10241
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    Explanations

    references to fine materials or particles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     casquette
    -0.60
     boisson
    -0.58
     disambiguazione
    -0.57
    calipsis
    -0.50
     Bacteriol
    -0.50
    🔁
    -0.50
    ruvate
    -0.49
    rungsseite
    -0.49
     odeur
    -0.49
     vectorielle
    -0.49
    POSITIVE LOGITS
     fine
    4.44
    Fine
    4.03
    fine
    3.97
     Fine
    3.97
     FINE
    3.64
    FINE
    3.31
     finer
    2.34
     fines
    2.20
     finely
    1.96
     finos
    1.90
    Activations Density 0.064%

    No Known Activations