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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12799
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    Explanations

    terms related to magnetic properties and fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     @"/
    -0.51
     Cay
    -0.45
    Rptr
    -0.45
    SharedDtor
    -0.44
     tear
    -0.44
    ########.
    -0.43
     kcal
    -0.42
    GLenum
    -0.42
    PYX
    -0.41
     tears
    -0.41
    POSITIVE LOGITS
     magnetic
    1.01
     magnet
    0.90
    magnetic
    0.88
     Magnetic
    0.88
    Magnetic
    0.86
     magnético
    0.84
     magnétique
    0.84
     magnetism
    0.83
     Magnet
    0.82
    磁
    0.82
    Activations Density 0.886%

    No Known Activations