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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. 4-RES-JB
    6. 7634
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    INDEX
    Explanations

    words related to personal growth and self-improvement

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal emotions or sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     primates
    -0.77
     artif
    -0.74
    matic
    -0.74
     Instr
    -0.73
     apes
    -0.72
     indo
    -0.69
    uay
    -0.69
    raints
    -0.68
     metic
    -0.67
     incorpor
    -0.67
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.07
    ï¸ı
    0.91
    İ
    0.91
    Ķ
    0.90
    ĸ
    0.90
    Ł
    0.90
    ł
    0.88
    ¸
    0.88
    ĺ
    0.88
    uthor
    0.85
    Activations Density 0.159%

    No Known Activations