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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5725
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    Explanations

    repeated mentions of the word "Har."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 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
    GEBURTS
    -0.56
     nakalista
    -0.51
     Chwiliwch
    -0.50
    Vidite
    -0.46
     betweenstory
    -0.44
    期刊论文
    -0.44
    GEBURTSDATUM
    -0.43
     appelez
    -0.42
     Boi
    -0.41
     AssemblyProduct
    -0.40
    POSITIVE LOGITS
     har
    3.66
    Har
    3.48
     Har
    3.48
    har
    3.48
     HAR
    3.13
    HAR
    3.09
     هار
    2.23
     HARR
    2.14
     Хар
    2.05
     Harlan
    2.02
    Activations Density 0.146%

    No Known Activations