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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. 6550
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    references to shopping and retail experiences

    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
     lizenzfreies
    -0.50
    sizeCache
    -0.45
    帖最后由
    -0.45
    RenderAtEndOf
    -0.44
    GenerationType
    -0.43
     BitmapFactory
    -0.43
    Jegyzetek
    -0.42
    DebuggerNonUser
    -0.42
     ModelExpression
    -0.40
    הו
    -0.39
    POSITIVE LOGITS
     Target
    1.16
    Target
    0.98
     Targets
    0.89
     Wal
    0.87
     target
    0.85
     TARGET
    0.84
     Walmart
    0.83
     Kohl
    0.76
    Wal
    0.75
    target
    0.74
    Activations Density 0.334%

    No Known Activations