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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. 11932
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    Explanations

    references to trauma or injuries in various contexts

    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
    rungsseite
    -0.59
     insuffisamment
    -0.55
     dụ
    -0.52
     Vordergrund
    -0.50
     arquitetura
    -0.48
    Aholisi
    -0.47
     ujednoznacz
    -0.47
     sessionFactory
    -0.46
    enido
    -0.46
     dormitórios
    -0.46
    POSITIVE LOGITS
     trauma
    0.81
     Trauma
    0.67
     problems
    0.66
     traumas
    0.64
     traumat
    0.58
    trauma
    0.55
     traumatic
    0.55
     problem
    0.54
    Trauma
    0.54
     Problems
    0.53
    Activations Density 0.500%

    No Known Activations