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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1146
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    INDEX
    Explanations

    terms related to long-term patterns or developments

    oai_token-act-pair · gpt-3.5-turbo

    references to demographic and societal trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.77
    ×Ļ×
    -0.73
    tein
    -0.71
    ricular
    -0.67
    amina
    -0.66
    porting
    -0.65
    ergy
    -0.65
    vette
    -0.65
    unts
    -0.65
    ×Ļ
    -0.64
    POSITIVE LOGITS
     trends
    1.35
     Trends
    1.09
     trend
    1.02
     Trend
    0.95
    Trend
    0.88
     Patterns
    0.85
    ãĤ¼ãĤ¦ãĤ¹
    0.82
    ĸļ
    0.78
     patterns
    0.77
     indicators
    0.75
    Activations Density 0.005%

    No Known Activations