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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 8965
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    Explanations

    details about furniture characteristics and arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MonoBehaviour
    -0.68
    nbt
    -0.57
    piew
    -0.50
     doInBackground
    -0.50
    withOpacity
    -0.49
     Viter
    -0.48
     Stepan
    -0.48
    nsec
    -0.48
    IOC
    -0.47
     Kild
    -0.47
    POSITIVE LOGITS
     chairs
    1.33
     seating
    1.26
     chair
    1.21
     seats
    1.13
    chairs
    1.12
     Chairs
    1.10
     CHAIR
    1.08
     furniture
    1.06
    chair
    1.04
     Seating
    1.03
    Activations Density 0.086%

    No Known Activations