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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10328
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    Explanations

    words related to merit and deservingness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schiffe
    -0.38
     Straß
    -0.38
     Kegiatan
    -0.38
     Langkah
    -0.38
     pasos
    -0.38
     Marín
    -0.35
    Filmografia
    -0.34
     yoktur
    -0.34
     Masyarakat
    -0.33
     Región
    -0.33
    POSITIVE LOGITS
     deserve
    1.38
    deserved
    1.28
     deserved
    1.27
     deserves
    1.27
     deserving
    1.12
    earned
    0.94
     earned
    0.88
     merit
    0.84
     worthy
    0.84
     заслу
    0.84
    Activations Density 0.176%

    No Known Activations