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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. 1-RES-JB
    11. 7668
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    Explanations

    descriptions or mentions of physical slides

    oai_token-act-pair · gpt-3.5-turbo

    references to slides in presentations, particularly in the context of visuals or PowerPoint

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elf
    -0.70
    raising
    -0.70
    neys
    -0.70
    MpServer
    -0.70
     Carbuncle
    -0.67
    non
    -0.65
    eworld
    -0.65
    requ
    -0.65
    src
    -0.63
    sts
    -0.63
    POSITIVE LOGITS
     slide
    1.27
     slides
    1.09
     Slide
    1.06
     Canaver
    0.90
     contrace
    0.84
    iewicz
    0.82
     slope
    0.78
     drawer
    0.76
    bilt
    0.75
    ideshow
    0.73
    Activations Density 0.011%

    No Known Activations