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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 9397
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    Explanations

    descriptions of clothing and attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.42
    PerformLayout
    -0.41
    bourn
    -0.40
    CharacterOffset
    -0.40
    ValueGeneration
    -0.39
    FieldOffset
    -0.39
    XmlIgnore
    -0.39
    siert
    -0.36
    idios
    -0.36
    TestMethod
    -0.36
    POSITIVE LOGITS
     pants
    1.15
     jeans
    1.05
     trousers
    1.03
     Pants
    0.95
    Pants
    0.92
    pants
    0.90
    👖
    0.90
     pantalón
    0.88
    jeans
    0.87
     Jeans
    0.86
    Activations Density 0.276%

    No Known Activations