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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 8780
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    themes related to recognition, merit, and moral considerations in social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RectangleBorder
    -0.52
    InitVars
    -0.46
    PreInfinity
    -0.45
    RegressionTest
    -0.44
    CppMethod
    -0.43
    ScopeManager
    -0.42
    momix
    -0.40
    来歴
    -0.39
     inst
    -0.39
    .*")]
    -0.39
    POSITIVE LOGITS
     deserved
    1.76
     deserve
    1.66
     deserving
    1.58
     deserves
    1.48
    deserved
    1.41
     mérit
    1.09
     verdient
    1.06
     merec
    1.02
     заслу
    0.94
     merit
    0.93
    Activations Density 0.183%

    No Known Activations