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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. 5-RES-JB
    6. 20130
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    Explanations

    the term "RSS"

    oai_token-act-pair · gpt-3.5-turbo

    references to RSS feeds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    È
    -0.79
     Hurricanes
    -0.77
    perty
    -0.75
    esville
    -0.75
    ecause
    -0.73
    eu
    -0.70
    cellence
    -0.70
    tesy
    -0.68
     Kardashian
    -0.65
    lain
    -0.61
    POSITIVE LOGITS
     feeds
    1.05
    rss
    0.97
     RSS
    0.95
     feed
    0.89
    adish
    0.85
     Feed
    0.81
     mosqu
    0.80
    DP
    0.79
    ICAL
    0.73
     cows
    0.70
    Activations Density 0.016%

    No Known Activations