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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. 8-RES-JB
    11. 24534
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    INDEX
    Explanations

    locations or places such as specific buildings and facilities

    oai_token-act-pair · gpt-3.5-turbo

    locations or places mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.76
    xit
    -0.67
    ussian
    -0.65
    izu
    -0.64
    blance
    -0.63
    utan
    -0.63
    hemy
    -0.61
    plets
    -0.61
    omsky
    -0.61
    ilyn
    -0.61
    POSITIVE LOGITS
     perimeter
    1.00
     grounds
    0.96
     premises
    0.96
     itself
    0.93
     gates
    0.92
     precinct
    0.91
     facility
    0.90
     vicinity
    0.87
     entrances
    0.87
     canopy
    0.87
    Activations Density 0.258%

    No Known Activations