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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6737
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    terms related to "drag" and "neuro" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Administrativna
    -0.56
     Obrador
    -0.52
    +#+#
    -0.49
     urethra
    -0.45
     urbain
    -0.45
     diamants
    -0.45
    يميديا
    -0.44
     Conch
    -0.44
    Galaxy
    -0.44
    camo
    -0.43
    POSITIVE LOGITS
     drag
    0.73
     neuro
    0.62
     dragging
    0.57
     drags
    0.55
     Silicon
    0.54
     Neuro
    0.53
     goog
    0.53
     dragged
    0.52
    neuro
    0.52
    ast
    0.52
    Activations Density 0.489%

    No Known Activations