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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 19151
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    Explanations

    phrases related to high levels of something, such as concentration, quality, success, cost, and disparities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating high levels of intensity or significant challenges

    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
    udder
    -0.79
    orthy
    -0.71
     Alternatively
    -0.69
     whichever
    -0.68
     Mb
    -0.68
    ilaterally
    -0.68
    Sham
    -0.67
    SB
    -0.66
    IER
    -0.66
    iland
    -0.66
    POSITIVE LOGITS
     nature
    1.37
     popularity
    1.15
    ness
    1.00
     lack
    1.00
     similarities
    0.99
     availability
    0.98
     tendency
    0.97
     prevalence
    0.95
    availability
    0.95
     absence
    0.94
    Activations Density 0.371%

    No Known Activations