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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 2420
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    terms related to forestry and wood production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.85
    aarrggbb
    -0.69
    ApiModelProperty
    -0.60
     Kef
    -0.59
    GeneratedCode
    -0.58
     Spinach
    -0.57
    enido
    -0.57
    enderror
    -0.56
    TabIndex
    -0.56
     dialysis
    -0.55
    POSITIVE LOGITS
     timber
    1.09
    timber
    1.03
     wood
    1.02
     Timber
    0.94
    Timber
    0.93
     Wood
    0.88
     kayu
    0.85
     forest
    0.82
     madera
    0.82
     چوب
    0.81
    Activations Density 0.189%

    No Known Activations