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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6707
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    keywords related to military and mental health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gesells
    -0.35
     resourceCulture
    -0.30
     snippetHide
    -0.30
     vru
    -0.28
    AppMethodBeat
    -0.28
    EditorBrowsable
    -0.27
    
    -0.27
    PyErr
    -0.26
    stücks
    -0.26
     alqu
    -0.25
    POSITIVE LOGITS
     military
    2.64
     Military
    2.44
    Military
    2.41
    military
    2.41
     soldiers
    2.41
     soldier
    2.34
     Army
    2.19
     MILITARY
    2.17
     army
    2.17
     militar
    2.13
    Activations Density 1.392%

    No Known Activations