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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. 6-RES-JB
    6. 22566
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    Explanations

    information about events and gatherings happening in a community, such as services, celebrations, performances, and social gatherings

    oai_token-act-pair · gpt-3.5-turbo

    details related to event scheduling and organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inheritance
    -0.84
     ali
    -0.84
     brute
    -0.82
     wrongly
    -0.82
    weak
    -0.78
    atism
    -0.72
     defect
    -0.71
     Turing
    -0.71
     inherited
    -0.70
    afia
    -0.70
    POSITIVE LOGITS
    Tickets
    1.17
     TBA
    1.05
     TBD
    0.98
     guests
    0.96
     attendees
    0.92
     EVENT
    0.92
     seating
    0.92
     Tickets
    0.91
     Guests
    0.89
     Downtown
    0.87
    Activations Density 1.065%

    No Known Activations