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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. 10241
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    INDEX
    Explanations

    mentions of events or activities where people participate together

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attendance at 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
    borne
    -0.77
    deal
    -0.71
    tight
    -0.71
    gravity
    -0.68
    berman
    -0.67
    zers
    -0.66
    erm
    -0.65
    slice
    -0.63
    onica
    -0.63
    hatt
    -0.62
    POSITIVE LOGITS
     meetings
    1.16
     conferences
    1.11
     seminars
    1.10
     lectures
    1.06
     ceremonies
    0.97
     gatherings
    0.96
     rallies
    0.95
     conventions
    0.94
     events
    0.91
     concerts
    0.91
    Activations Density 0.059%

    No Known Activations