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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. 5-RES-JB
    6. 20381
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    Explanations

    references to the term "Canon" in various contexts, such as technology, literature, and culture

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "canon" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pupp
    -0.69
    -+
    -0.68
    stract
    -0.67
    Frameworks
    -0.66
    Sov
    -0.65
    RANT
    -0.64
    sie
    -0.63
    ELL
    -0.63
    Drug
    -0.62
    OOL
    -0.61
    POSITIVE LOGITS
    icals
    1.20
    icles
    1.16
    ical
    1.14
    icle
    0.97
    icity
    0.93
    ique
    0.88
    nect
    0.88
    ically
    0.87
    structed
    0.83
    nery
    0.83
    Activations Density 0.020%

    No Known Activations