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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 60258
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    Explanations

    references to geographical locations, particularly rivers and areas related to the Thames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    names of rivers and their basins/valleys

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marketer
    -0.44
     packer
    -0.42
    нгредіє
    -0.42
     Nug
    -0.41
     doInBackground
    -0.41
     sinner
    -0.40
     knuckle
    -0.40
     golfer
    -0.40
     inoc
    -0.40
     finisher
    -0.40
    POSITIVE LOGITS
     Thames
    2.22
     Seine
    0.79
     Ganges
    0.78
     Severn
    0.72
     Mersey
    0.72
     Tyne
    0.71
     Rhine
    0.66
     Rhein
    0.66
     Londra
    0.66
    Seine
    0.65
    Activations Density 0.002%

    No Known Activations