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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. 21775
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    Explanations

    individuals attending events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of attendance at various events or meetings

    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
    shield
    -0.76
    onica
    -0.70
    ename
    -0.69
    hematically
    -0.69
    ãĥĥãĥĪ
    -0.68
    yne
    -0.68
    heet
    -0.67
    ilty
    -0.67
    rapnel
    -0.67
    antically
    -0.67
    POSITIVE LOGITS
     conferences
    1.90
     seminars
    1.86
     concerts
    1.83
     gatherings
    1.80
     festivals
    1.75
     weddings
    1.74
     meetings
    1.67
     dinners
    1.66
     events
    1.65
     rallies
    1.62
    Activations Density 0.480%

    No Known Activations