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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. 3-RES-JB
    11. 8292
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    Explanations

    technical specifications related to frames per second (FPS) and refresh rates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frames per second (FPS) and performance metrics in gaming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bery
    -0.77
     Burnett
    -0.69
    cules
    -0.68
    izational
    -0.64
    bone
    -0.64
    collar
    -0.64
    essa
    -0.64
     Terra
    -0.63
     nucleus
    -0.62
     Debor
    -0.62
    POSITIVE LOGITS
     FPS
    1.09
    fps
    1.03
     fps
    1.02
    PDATE
    0.91
    erate
    0.87
    mpeg
    0.78
     Ubisoft
    0.78
    terness
    0.75
    UGE
    0.75
    ixel
    0.73
    Activations Density 0.016%

    No Known Activations