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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10369
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    Explanations

    references to various types of "buckets" and "expensive" items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     
    -0.55
     No
    -0.53
     R
    -0.52
    gister
    -0.49
    W
    -0.49
     W
    -0.48
     T
    -0.48
    *
    -0.46
     A
    -0.46
    澤
    -0.46
    POSITIVE LOGITS
     expensive
    0.96
     שוליים
    0.93
     Monfieur
    0.89
    SequentialGroup
    0.87
     Unidas
    0.87
    MLLoader
    0.84
    expensive
    0.82
     Expensive
    0.82
     costly
    0.81
     Egli
    0.79
    Activations Density 0.547%

    No Known Activations