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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. 10-RES-JB
    6. 19548
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    INDEX
    Explanations

    academic references in a specific format with titles, authors, dates, and paper themes

    oai_token-act-pair · gpt-3.5-turbo

    references to academic papers and their citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rented
    -0.80
     cooked
    -0.79
     wandered
    -0.77
     champ
    -0.76
    psons
    -0.75
     anytime
    -0.73
     departed
    -0.73
     taco
    -0.73
     snatched
    -0.73
     entertain
    -0.72
    POSITIVE LOGITS
     Definitions
    1.34
     Factors
    1.32
     Comparison
    1.31
     Understanding
    1.31
     Principles
    1.30
    Understanding
    1.30
     Evaluation
    1.29
     Effects
    1.29
     Influence
    1.27
    Introduction
    1.26
    Activations Density 0.163%

    No Known Activations