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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15671
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    references to sports and athletic achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ripsi
    -0.42
    Bioaccumulative
    -0.39
    γη
    -0.35
    łaszcza
    -0.35
     carbón
    -0.34
     ocupación
    -0.32
     çı
    -0.32
     Pflicht
    -0.32
     esmeralda
    -0.31
     saites
    -0.30
    POSITIVE LOGITS
     throw
    3.14
     throwing
    2.89
     thrown
    2.67
    throw
    2.67
     Throw
    2.66
     throws
    2.61
     threw
    2.55
     Throwing
    2.53
    throwing
    2.42
    Throw
    2.39
    Activations Density 0.330%

    No Known Activations