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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2955
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    Explanations

    references to biological buffers and their components

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ↹
    -0.39
    atshirt
    -0.39
    abrigo
    -0.37
    setVerticalGroup
    -0.35
    fortawesome
    -0.35
    braio
    -0.34
    chemise
    -0.34
    saraba
    -0.33
    Personendaten
    -0.33
    AutoModerator
    -0.32
    POSITIVE LOGITS
     buff
    1.05
    buff
    0.99
     buffers
    0.95
     Buff
    0.93
    Buff
    0.89
     BUFF
    0.88
    buffers
    0.87
     buffer
    0.85
    BUFF
    0.79
     buf
    0.76
    Activations Density 1.371%

    No Known Activations