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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. 7-RES-JB
    6. 15592
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    INDEX
    Explanations

    information related to specific pieces of writing, such as articles, blog posts, letters, and reports

    oai_token-act-pair · gpt-3.5-turbo

    clauses that introduce significant details about events or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accommodation
    -0.70
    pants
    -0.67
    Course
    -0.62
    tsy
    -0.61
     wear
    -0.61
    unts
    -0.61
    animate
    -0.60
     seas
    -0.60
    mith
    -0.60
     hem
    -0.59
    POSITIVE LOGITS
    itled
    1.16
    vertisement
    1.07
     titled
    0.98
     headlined
    0.95
     excerpts
    0.94
    uggest
    0.89
     outlining
    0.86
    lished
    0.85
     detailing
    0.85
     entitled
    0.84
    Activations Density 0.484%

    No Known Activations