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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8235
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    proper nouns and specific names in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     împre
    -0.47
    ьажоргаш
    -0.40
    olesale
    -0.40
     Penh
    -0.38
     paziente
    -0.38
    bahaya
    -0.37
     fotografico
    -0.37
     vettor
    -0.37
    bitField
    -0.37
    itoare
    -0.36
    POSITIVE LOGITS
     informée
    0.63
     CreateTagHelper
    0.49
    OGND
    0.48
    providedIn
    0.48
    SourceChecksum
    0.47
     surla
    0.46
     @"/
    0.44
     Needle
    0.42
    endphp
    0.38
    SharedDtor
    0.37
    Activations Density 0.537%

    No Known Activations