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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. 15804
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    Explanations

    themes of recognition and worthiness in the context of people and 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
    CppMethod
    -0.55
    ScopeManager
    -0.47
     Tand
    -0.37
     pozor
    -0.33
    DMETHOD
    -0.33
    printStackTrace
    -0.32
    AGRAM
    -0.31
     Dummies
    -0.31
     vist
    -0.31
    ếng
    -0.31
    POSITIVE LOGITS
     deserve
    2.73
     deserved
    2.64
     deserves
    2.61
     deserving
    2.52
    deserved
    2.14
     mérit
    2.11
     merit
    2.11
     merits
    2.09
     mérite
    2.00
     verdient
    1.95
    Activations Density 0.531%

    No Known Activations