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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. 7628
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    AsUp
    -0.52
     Италијани
    -0.50
     attachment
    -0.44
     Савезне
    -0.42
    ="@+
    -0.41
    batas
    -0.40
    complexContent
    -0.38
     Versorgung
    -0.37
     "..\..\
    -0.36
     Scotts
    -0.36
    POSITIVE LOGITS
     tar
    0.69
     Tar
    0.69
     concrete
    0.65
    concrete
    0.62
    Backend
    0.61
     Concrete
    0.60
     intuition
    0.60
    Tar
    0.59
    backend
    0.59
     resp
    0.58
    Activations Density 0.481%

    No Known Activations