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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12430
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    terms related to urban transportation and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    municipi
    -0.33
    ModelAttribute
    -0.31
    persky
    -0.30
    IndentedString
    -0.30
    CPtr
    -0.29
     Boll
    -0.28
    RefNanny
    -0.28
    Sw
    -0.28
     Assume
    -0.27
    žite
    -0.27
    POSITIVE LOGITS
     Milwaukee
    1.05
    Milwaukee
    1.00
    Wisconsin
    0.69
    WAUKEE
    0.68
     Wisconsin
    0.68
     Jefus
    0.65
     MIL
    0.64
    waukee
    0.64
     Racine
    0.63
     Eſ
    0.61
    Activations Density 0.276%

    No Known Activations