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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13582
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    Explanations

    references to engine components and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chọn
    -0.48
     })}
    -0.48
    })}
    -0.48
    cstdlib
    -0.47
    }`}
    -0.47
     Justus
    -0.46
    ()}}
    -0.46
    atguigu
    -0.45
    ￣)
    -0.45
     LIST
    -0.43
    POSITIVE LOGITS
     Engine
    1.02
    Engine
    1.01
     engine
    0.93
     Engines
    0.90
    engine
    0.90
    Engines
    0.89
     ENGINE
    0.89
    engines
    0.82
    ngine
    0.80
     engines
    0.79
    Activations Density 0.252%

    No Known Activations