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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 12996
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    references to eyes and vision-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eyes
    -0.53
    INCREF
    -0.49
    ]-->
    -0.43
     EYES
    -0.43
     Eyes
    -0.41
    [::-
    -0.41
    Personendaten
    -0.40
    眼中
    -0.39
    GOTREF
    -0.39
    addEdge
    -0.38
    POSITIVE LOGITS
    glass
    0.69
     watering
    0.60
     fixed
    0.54
    catching
    0.52
    watering
    0.51
    GLASS
    0.51
     lids
    0.51
    lids
    0.50
     brow
    0.49
    opener
    0.49
    Activations Density 0.146%

    No Known Activations