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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 5219
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    Explanations

    sentences that contain a high frequency of the word "we" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vindo
    -0.50
    
    -0.48
     ExecuteAsync
    -0.47
    المناصب
    -0.45
    Personendaten
    -0.44
    pingente
    -0.44
    writeField
    -0.43
    iffance
    -0.42
    fastjson
    -0.42
     مرئيه
    -0.41
    POSITIVE LOGITS
     also
    0.49
    จึง
    0.46
    也要
    0.46
     using
    0.46
    還要
    0.45
     therefor
    0.44
    还要
    0.44
    要
    0.44
    anship
    0.43
     dabei
    0.42
    Activations Density 0.671%

    No Known Activations