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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10497
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    Explanations

    references to specific Ford vehicles and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ьаж
    -0.41
     ProtoMessage
    -0.40
     Gell
    -0.40
    Dota
    -0.37
    Superview
    -0.37
     swiss
    -0.36
     Dota
    -0.36
     Dio
    -0.36
     Swiss
    -0.35
     Ogden
    -0.35
    POSITIVE LOGITS
     Ford
    1.23
    Ford
    1.13
     FORD
    1.12
     ford
    1.02
     Mustang
    0.83
    FORD
    0.82
     Dearborn
    0.77
    ford
    0.72
     mustang
    0.72
     SVT
    0.71
    Activations Density 0.171%

    No Known Activations