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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 14702
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    Explanations

    text related to travel and community events, possibly related to a wine club

    oai_token-act-pair · gpt-3.5-turbo

    references to exploration and community engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CRC
    -0.68
    :[
    -0.64
     Shib
    -0.62
     CTR
    -0.62
     CFL
    -0.61
    ework
    -0.60
    biased
    -0.59
     Anon
    -0.59
    asel
    -0.59
     Gators
    -0.58
    POSITIVE LOGITS
     Wine
    0.76
     Travels
    0.72
     kindred
    0.72
    inav
    0.67
    Travel
    0.64
     Explore
    0.63
    NPR
    0.61
     Statue
    0.61
     Preservation
    0.61
    ë
    0.59
    Activations Density 0.028%

    No Known Activations