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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2173
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    information about a person's professional background and career progression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     medlemmer
    -0.48
    뀔
    -0.45
     vectorielles
    -0.44
     égard
    -0.43
     inför
    -0.43
    뀜
    -0.43
    égard
    -0.43
     särsk
    -0.42
    resseur
    -0.42
     vectorielle
    -0.41
    POSITIVE LOGITS
    ########.
    0.61
     working
    0.61
     stint
    0.61
     career
    0.60
     работал
    0.59
     propOrder
    0.59
     worked
    0.57
    employed
    0.57
     positions
    0.56
     lavorare
    0.55
    Activations Density 0.365%

    No Known Activations