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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 324
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    Explanations

    references to specific vehicle components and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ]")]
    -0.45
    ///</
    -0.44
    RenderAtEndOf
    -0.44
    出版年
    -0.42
     autorytatywna
    -0.42
     defaultstate
    -0.42
     Aplica
    -0.41
     незавершена
    -0.40
    SourceChecksum
    -0.40
     مض
    -0.38
    POSITIVE LOGITS
     handles
    0.71
     behaved
    0.69
     performs
    0.68
     behaving
    0.65
     handled
    0.65
     behaves
    0.60
     behave
    0.59
     Handles
    0.59
     Performs
    0.59
    behaved
    0.59
    Activations Density 0.232%

    No Known Activations