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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. 11944
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    references to specific locations and events

    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
     Peshawar
    -0.36
     wijze
    -0.32
     Whilst
    -0.32
    ดี
    -0.31
     Sudanese
    -0.31
     wherein
    -0.30
    eqn
    -0.30
    ั่น
    -0.30
     diha
    -0.30
    labelledby
    -0.30
    POSITIVE LOGITS
     Singapore
    1.10
    Singapore
    1.02
     SING
    0.90
     Singapura
    0.89
     Singapur
    0.88
    新加坡
    0.88
     singapore
    0.86
    APORE
    0.85
    SING
    0.82
     Sing
    0.82
    Activations Density 0.222%

    No Known Activations