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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8667
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    Explanations

    phrases expressing feelings of worthiness and recognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    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
    -0.46
    ScopeManager
    -0.36
    FailureListener
    -0.34
    ếng
    -0.33
    HET
    -0.32
    クリート
    -0.32
     Dummies
    -0.31
     Tand
    -0.31
     dummies
    -0.30
    MVH
    -0.30
    POSITIVE LOGITS
     deserve
    2.69
     deserves
    2.58
     deserved
    2.45
     deserving
    2.39
     merit
    2.02
    deserved
    2.00
     merits
    1.98
     mérit
    1.98
     mérite
    1.92
     worthy
    1.81
    Activations Density 0.448%

    No Known Activations