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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 15514
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    proper nouns and specific names related to places and people in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ől
    -0.76
    de
    -0.53
     de
    -0.51
    +:+
    -0.49
    nek
    -0.49
    lerin
    -0.49
    leri
    -0.47
     становника
    -0.47
    lerden
    -0.47
     sosp
    -0.45
    POSITIVE LOGITS
     da
    0.80
     InputDecoration
    0.67
    %</
    0.65
    lar
    0.63
    da
    0.63
    UrlResolution
    0.61
    findpost
    0.61
    */)
    0.60
     Efq
    0.59
    Nuorodos
    0.55
    Activations Density 0.113%

    No Known Activations