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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10781
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    Explanations

    mentions of basketball and improvement techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    contentLoaded
    -0.59
    ScopeManager
    -0.55
     poveznice
    -0.49
    \{\\
    -0.48
    featureID
    -0.47
     Савезне
    -0.47
    httphttps
    -0.47
    initializeApp
    -0.46
    ätie
    -0.44
     otomatig
    -0.44
    POSITIVE LOGITS
     technique
    0.80
     skill
    0.80
     mastery
    0.78
     mastered
    0.70
     techniques
    0.66
     skillful
    0.66
     skills
    0.65
     proficiency
    0.64
     mastering
    0.64
     practice
    0.64
    Activations Density 0.280%

    No Known Activations