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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 9022
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    Explanations

    the word "Tar" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NameInMap
    -0.96
    IVEREF
    -0.73
     MessageBoxIcon
    -0.69
    ConstraintMaker
    -0.63
    ")));
    -0.61
     Zwie
    -0.61
    sizeCache
    -0.59
    Diweddarwch
    -0.59
    titleMargin
    -0.59
     ujednoznacz
    -0.59
    POSITIVE LOGITS
     Tar
    1.06
    Tar
    1.03
     tar
    1.00
    tar
    0.92
    ino
    0.91
     weights
    0.83
     TAR
    0.82
    INO
    0.76
    TAR
    0.73
    weighted
    0.73
    Activations Density 0.048%

    No Known Activations