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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8772
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    Explanations

    names of people or entities, particularly focusing on their frequency of appearance in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IConfiguration
    -0.44
     repeti
    -0.40
     tind
    -0.38
    bgp
    -0.38
     Vichy
    -0.37
    Herzliche
    -0.37
    andExpect
    -0.37
     corti
    -0.35
     sirup
    -0.35
     subtil
    -0.35
    POSITIVE LOGITS
     Ae
    0.61
    Ӕ
    0.59
    Ae
    0.55
     незавершена
    0.54
     AE
    0.53
    gae
    0.51
    oe
    0.51
    AE
    0.49
     ae
    0.49
     Kae
    0.48
    Activations Density 0.350%

    No Known Activations