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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2534
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    Explanations

    mentions of academic positions and qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Client
    -0.35
     client
    -0.33
     ujednoznacz
    -0.32
     treinamento
    -0.32
     كورة
    -0.32
    請繼續往下閱讀
    -0.32
     voluntarios
    -0.32
    simpleType
    -0.32
     Client
    -0.31
     utafitiHapana
    -0.31
    POSITIVE LOGITS
     professor
    2.61
     Professor
    2.53
    Professor
    2.36
     professors
    2.33
    professor
    2.23
     Professors
    2.22
     PROFESSOR
    2.13
     Prof
    2.11
    Prof
    2.00
     profesor
    1.98
    Activations Density 0.268%

    No Known Activations