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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. 17398
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    Explanations

    phrases related to various businesses and services, such as retail, maintenance, ticketing, debit cards, administration, drum machines, character powers, community meetings, tourist attractions, and more

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of media, commerce, and community infrastructure

    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
    ĸļ
    -1.02
     tremend
    -0.73
    ACTED
    -0.69
    utenberg
    -0.68
     Attention
    -0.68
     Reloaded
    -0.67
    ukong
    -0.67
     guiName
    -0.66
    achu
    -0.65
     Lethal
    -0.65
    POSITIVE LOGITS
     alike
    1.23
     ones
    0.95
     associations
    0.88
     equivalents
    0.88
     outfits
    0.87
     agendas
    0.84
     licenses
    0.84
     organisations
    0.83
     attachments
    0.82
     sites
    0.81
    Activations Density 0.397%

    No Known Activations