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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9949
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    Explanations

    steps and instructions related to culinary processes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Билгалдахарш
    -0.75
    الحياه
    -0.67
    featureID
    -0.63
    
    -0.62
    الإنجليزية
    -0.60
    SequentialGroup
    -0.59
     محفوظة
    -0.59
    providedIn
    -0.57
     Roskov
    -0.56
    dicionado
    -0.56
    POSITIVE LOGITS
     preferably
    0.40
     slowly
    0.36
     familiarize
    0.33
     appropriate
    0.33
     gently
    0.31
     each
    0.30
    先
    0.30
     your
    0.30
     carefully
    0.30
     Adjust
    0.30
    Activations Density 0.557%

    No Known Activations