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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12990
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    terms related to fashion and clothing collections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OCCURRED
    -0.47
    velocityY
    -0.46
     régionale
    -0.43
     extranjera
    -0.42
    UseVisualStyle
    -0.41
     inconn
    -0.41
     cheap
    -0.41
     doPost
    -0.39
    StartTag
    -0.39
     failure
    -0.38
    POSITIVE LOGITS
     collection
    1.38
     collections
    1.24
     Collection
    1.20
    collection
    1.12
     COLLECTION
    1.09
     colección
    1.07
     kolek
    1.05
     coleção
    1.03
     Collections
    0.98
    Collection
    0.98
    Activations Density 0.161%

    No Known Activations