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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 495
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    Explanations

    references to the term "tar" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    DockStyle
    -0.55
    hObject
    -0.47
     smelling
    -0.44
    BorderFactory
    -0.42
     HasFactory
    -0.40
     Superan
    -0.40
     FFA
    -0.39
     warm
    -0.38
     yyj
    -0.38
     tempel
    -0.38
    POSITIVE LOGITS
     tar
    0.84
    Tar
    0.77
     Tar
    0.76
    tar
    0.73
    mp
    0.66
    ctor
    0.65
     Cellular
    0.57
     TAR
    0.57
    Cellular
    0.56
     cellular
    0.55
    Activations Density 0.528%

    No Known Activations