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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10007
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    Explanations

    references to the term "Tam" 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 @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.47
     poveznice
    -0.46
     Gree
    -0.44
     caufe
    -0.41
    uxxxx
    -0.38
     quirúrg
    -0.38
    Хьажоргаш
    -0.38
     ſtill
    -0.37
    CppCodeGen
    -0.37
     {},
    -0.37
    POSITIVE LOGITS
    Tam
    0.81
     Tam
    0.80
     TAM
    0.64
     tam
    0.64
    TAM
    0.60
    tam
    0.56
    tams
    0.55
    ftagPool
    0.54
     tamper
    0.52
     TM
    0.47
    Activations Density 0.305%

    No Known Activations