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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. 6-RES-JB
    6. 18624
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    INDEX
    Explanations

    news organizations and media outlets

    oai_token-act-pair · gpt-3.5-turbo

    references to news organizations and media outlets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.75
    pai
    -0.71
    scl
    -0.69
    bands
    -0.68
    utical
    -0.65
     subreddits
    -0.65
    reddit
    -0.63
    interstitial
    -0.62
    abiding
    -0.61
    oku
    -0.61
    POSITIVE LOGITS
     correspondent
    1.02
     Investigative
    0.89
     quoted
    0.85
     reporter
    0.83
     NETWORK
    0.82
     excerpt
    0.80
     interviewed
    0.77
     speculate
    0.77
     quer
    0.77
     journalist
    0.76
    Activations Density 0.189%

    No Known Activations