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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9879
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    references to specific words and their usage in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.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
     Clifton
    -0.53
     $:$
    -0.49
     realising
    -0.46
    IANI
    -0.46
     Giuliano
    -0.45
     McAllister
    -0.45
    Allister
    -0.45
     realisation
    -0.44
     Hau
    -0.44
     Osorio
    -0.44
    POSITIVE LOGITS
     word
    1.03
    Word
    1.01
     Word
    0.98
     WORD
    0.98
     words
    0.96
    WORD
    0.88
    Words
    0.88
     WORDS
    0.87
    word
    0.87
    words
    0.85
    Activations Density 0.158%

    No Known Activations