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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 5847
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    Explanations

    references to trailers and large transport vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spencer
    -0.74
     Leopoldo
    -0.72
     propOrder
    -0.69
     Sigurd
    -0.69
     fhould
    -0.68
    picasso
    -0.68
    Chandra
    -0.67
    Spencer
    -0.65
     Okada
    -0.64
     estekak
    -0.64
    POSITIVE LOGITS
     trailer
    1.42
     Trailer
    1.35
    Trailer
    1.20
     tent
    1.19
    trailer
    1.16
     trailers
    1.10
     Tent
    1.10
     Trailers
    1.04
    Tent
    0.98
    tent
    0.93
    Activations Density 0.246%

    No Known Activations