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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3546
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    Explanations

    references to streets and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.58
    ubblica
    -0.57
     Street
    -0.52
    =[]
    -0.51
     Draht
    -0.51
    $'
    -0.51
    Gute
    -0.51
    Takeaway
    -0.50
     VIAF
    -0.49
     master
    -0.49
    POSITIVE LOGITS
     walls
    1.37
     roads
    1.35
     hills
    1.30
     Walls
    1.28
    Hills
    1.24
     streets
    1.24
    Roads
    1.20
     doors
    1.17
     Roads
    1.15
    streets
    1.13
    Activations Density 0.132%

    No Known Activations