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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3524
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    references to "smart" technologies or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.46
     razie
    -0.45
    ))}
    -0.41
     ""))
    -0.40
     })}
    -0.40
    ')")
    -0.39
    ))))))))
    -0.38
    cessite
    -0.37
    }});
    -0.37
    vádz
    -0.37
    POSITIVE LOGITS
     Smart
    0.70
     Smar
    0.66
     smar
    0.64
     smart
    0.62
    Smart
    0.62
     estekak
    0.60
    watches
    0.59
    Smar
    0.59
    smart
    0.57
     SMART
    0.56
    Activations Density 0.132%

    No Known Activations