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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. 2-RES-JB
    11. 5883
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    INDEX
    Explanations

    the concept of not fitting in or being misfit

    oai_token-act-pair · gpt-3.5-turbo

    references to fitness and physical activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     crank
    -0.67
    arta
    -0.66
     hypot
    -0.65
     slippery
    -0.64
     furious
    -0.62
     orally
    -0.61
     Hague
    -0.61
     breath
    -0.61
     circulation
    -0.60
    utra
    -0.60
    POSITIVE LOGITS
    ters
    1.18
    fit
    1.17
    fitting
    1.09
    Fit
    1.07
    fits
    0.96
    gerald
    0.95
    MENTS
    0.91
    liction
    0.90
     Fit
    0.90
    ration
    0.86
    Activations Density 0.017%

    No Known Activations