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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. 1-RES-JB
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    Explanations

    instances where the word "subject" is used in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    the term "subject" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATIONAL
    -0.71
    ECK
    -0.69
    IELD
    -0.68
    OURCE
    -0.67
     Zimmer
    -0.67
    IER
    -0.65
     Clement
    -0.64
    BLIC
    -0.63
     Kats
    -0.63
     eternity
    -0.62
    POSITIVE LOGITS
    subject
    0.95
     subject
    0.90
     Subjects
    0.89
    ivity
    0.88
    Subject
    0.85
    ively
    0.85
     subjects
    0.82
    matter
    0.82
    classes
    0.79
     Subject
    0.77
    Activations Density 0.012%

    No Known Activations