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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. 5834
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    Explanations

    references to compression in various contexts

    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
     })}
    -0.80
    `,
    -0.70
    `;
    -0.70
     =======
    -0.69
    concel
    -0.67
    клопе
    -0.66
    *~*~
    -0.66
     समीक्षक
    -0.65
    +][
    -0.65
    ThroughAttribute
    -0.65
    POSITIVE LOGITS
     compression
    0.70
    compressed
    0.67
     compressed
    0.67
     Compression
    0.66
    compression
    0.64
    學
    0.58
    compress
    0.58
    학
    0.58
    matic
    0.57
    ########.
    0.57
    Activations Density 0.110%

    No Known Activations