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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. 9-RES-JB
    11. 7142
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    Explanations

    descriptions of gadgets and technological devices

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to ease of use and quality in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -1.16
    issues
    -1.06
    tracks
    -1.00
    names
    -0.99
    osponsors
    -0.98
    ernels
    -0.97
    ometers
    -0.95
    stones
    -0.95
    sticks
    -0.93
    classes
    -0.92
    POSITIVE LOGITS
     version
    1.28
     affair
    1.13
     replica
    1.04
     solution
    1.03
     masterpiece
    0.98
     approximation
    0.96
     proposition
    0.95
     endeavor
    0.95
     piece
    0.94
     incarnation
    0.94
    Activations Density 0.382%

    No Known Activations