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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11826
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pektive
    -0.34
    mogorov
    -0.33
    myr
    -0.32
    mata
    -0.32
     platform
    -0.31
     atmos
    -0.31
     atom
    -0.31
     dode
    -0.31
     origin
    -0.30
     tố
    -0.30
    POSITIVE LOGITS
     physicians
    2.03
     doctors
    2.03
     medical
    2.00
     medically
    1.98
     hospitals
    1.92
     hospital
    1.91
     médicos
    1.85
     patients
    1.84
     physician
    1.83
     médicale
    1.83
    Activations Density 2.702%

    No Known Activations