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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 4971
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    references to specific automobile brands or models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FetchType
    -0.49
    providedIn
    -0.45
    stdc
    -0.44
    badlogic
    -0.44
     driving
    -0.43
    Xna
    -0.41
    Driving
    -0.40
     Driving
    -0.39
     Apartment
    -0.39
     negru
    -0.37
    POSITIVE LOGITS
     sales
    0.73
     production
    0.71
     dealers
    0.68
     manufacturing
    0.67
     constructeur
    0.65
     factories
    0.63
     automaker
    0.61
     assemb
    0.61
    production
    0.59
     styling
    0.59
    Activations Density 0.394%

    No Known Activations