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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. 3-RES-JB
    6. 11068
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    INDEX
    Explanations

    short, concise summaries or explanations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encapsulate summaries or main ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lean
    -0.74
    ali
    -0.70
     faint
    -0.67
    rising
    -0.65
    rie
    -0.65
    young
    -0.63
    hung
    -0.62
    inates
    -0.62
    gypt
    -0.62
    claimed
    -0.62
    POSITIVE LOGITS
     nutshell
    1.28
     summar
    0.88
     gist
    0.85
     summarize
    0.84
     outline
    0.80
     Overview
    0.79
    rss
    0.79
     overview
    0.71
     summary
    0.69
    ="#
    0.68
    Activations Density 0.011%

    No Known Activations