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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 12719
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    Explanations

    reference to body parts, specifically the legs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     endblock
    -0.79
     NgModule
    -0.76
    AutoField
    -0.72
     ruinas
    -0.68
     endforeach
    -0.65
     héroe
    -0.63
    enumii
    -0.63
     Erwartungen
    -0.63
     doInBackground
    -0.63
    StoryboardSegue
    -0.62
    POSITIVE LOGITS
     leg
    0.89
     Leg
    0.77
     LEG
    0.68
    Leg
    0.67
     legs
    0.64
    leg
    0.64
     pit
    0.59
     Bottle
    0.54
    dir
    0.54
     Legs
    0.54
    Activations Density 0.316%

    No Known Activations