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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. 13830
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    Explanations

    proper nouns, particularly names and titles

    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
     disambiguazione
    -0.79
    LookAnd
    -0.67
     AssemblyCulture
    -0.66
     nakalista
    -0.65
     '\\;'
    -0.63
    tanleria
    -0.62
    Autoritní
    -0.60
     kaarangay
    -0.59
    <unused41>
    -0.58
    <unused43>
    -0.58
    POSITIVE LOGITS
     has
    0.84
     is
    0.81
     was
    0.77
     provides
    0.72
     |
    0.72
     adalah
    0.68
     -
    0.66
     vs
    0.65
     offers
    0.65
    <eos>
    0.65
    Activations Density 2.245%

    No Known Activations