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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13249
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    Explanations

    terms and phrases that indicate quantity or frequency, particularly focusing on words like "most," "many," "some," and "various."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.48
    sproz
    -0.47
    tanleria
    -0.40
    æa
    -0.40
     ger
    -0.40
    effetto
    -0.38
    irlo
    -0.38
     breeding
    -0.38
    numbers
    -0.38
    ientras
    -0.37
    POSITIVE LOGITS
     other
    0.63
     các
    0.59
     various
    0.57
    各
    0.57
    各项
    0.56
    tagHelperRunner
    0.55
     many
    0.55
    featureID
    0.52
     wszystkie
    0.51
    GIVEREF
    0.51
    Activations Density 1.049%

    No Known Activations