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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12616
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    Explanations

    instances of messages in code, specifically referencing message types and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hälfte
    -0.44
     Konkurrenz
    -0.42
     mecánico
    -0.42
     geprü
    -0.39
     Erhaltung
    -0.39
    mejores
    -0.38
    through
    -0.38
    Through
    -0.37
     mejorado
    -0.36
     überall
    -0.36
    POSITIVE LOGITS
    msg
    2.72
     msg
    2.70
    Msg
    2.22
     Msg
    2.20
     msgs
    1.80
    MSG
    1.79
     MSG
    1.70
    setMsg
    1.70
    getMsg
    1.67
    Msgs
    1.59
    Activations Density 0.068%

    No Known Activations