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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. 11-RES-JB
    6. 16131
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    Explanations

    information related to event planning and scheduling

    oai_token-act-pair · gpt-3.5-turbo

    information related to ticket sales and events

    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
    etsy
    -0.86
    %%%%
    -0.80
    nih
    -0.80
    behavior
    -0.79
    >>\
    -0.75
     Cindy
    -0.72
    FBI
    -0.71
    etooth
    -0.71
    utter
    -0.71
    Chuck
    -0.69
    POSITIVE LOGITS
     fixtures
    1.52
     organisers
    1.45
     Wembley
    1.43
     tournaments
    1.33
     stadiums
    1.32
     matches
    1.30
     qualifiers
    1.28
     UEFA
    1.28
     competitions
    1.28
     venues
    1.28
    Activations Density 0.329%

    No Known Activations