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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 16201
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    Explanations

    references to the name "Tan" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.41
    رشف
    -0.35
     αντί
    -0.35
     aprobó
    -0.32
    
    -0.32
     realice
    -0.31
    ActionCreators
    -0.31
    ponses
    -0.31
    AutoScaleMode
    -0.31
     intervened
    -0.31
    POSITIVE LOGITS
     tan
    0.75
    Tan
    0.71
     Tan
    0.70
     تان
    0.64
     TAN
    0.63
    tamount
    0.60
     Tanner
    0.59
     Тан
    0.59
    Tanner
    0.59
     tana
    0.57
    Activations Density 0.170%

    No Known Activations