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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6683
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    Explanations

    references to 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-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     latihan
    -0.43
    DBNull
    -0.41
     tension
    -0.41
     BoxFit
    -0.40
    égias
    -0.39
     susu
    -0.38
    NORE
    -0.38
     bashing
    -0.37
    šinou
    -0.36
    xito
    -0.36
    POSITIVE LOGITS
     tar
    0.67
     Tar
    0.61
    Justin
    0.60
    BagConstraints
    0.59
     Justin
    0.58
    Tar
    0.58
    \{\\
    0.58
     GenerationType
    0.56
    tar
    0.56
    ❋
    0.55
    Activations Density 1.142%

    No Known Activations