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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. 3-RES-JB
    6. 22232
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    Explanations

    references to a specific individual named "Cavanagh"

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to people

    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
     mathemat
    -0.76
     reluct
    -0.76
     conduc
    -0.73
     prevailing
    -0.72
     corros
    -0.71
     fateful
    -0.71
     ubiquitous
    -0.71
    ĨĴ
    -0.70
     payday
    -0.69
    omething
    -0.69
    POSITIVE LOGITS
    avan
    1.21
    agh
    1.17
    abal
    0.91
    aughs
    0.90
    athan
    0.88
    elli
    0.87
    atech
    0.86
    aban
    0.85
    ese
    0.83
    adium
    0.83
    Activations Density 0.012%

    No Known Activations