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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. 21793
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    Explanations

    words related to various topics such as technology, social issues, emotions, and specific individuals or events

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and current events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ulo
    -0.74
     Dram
    -0.66
    reviewed
    -0.65
     Brooks
    -0.63
    oola
    -0.62
    bra
    -0.62
     Madden
    -0.57
    Ub
    -0.57
    udic
    -0.56
     Lomb
    -0.55
    POSITIVE LOGITS
     Pengu
    0.75
     topics
    0.72
     motivations
    0.71
     tipping
    0.70
    EStream
    0.69
    urrencies
    0.69
     conflic
    0.68
    etz
    0.67
     priorities
    0.67
     inspir
    0.66
    Activations Density 0.905%

    No Known Activations