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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. 24007
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    Explanations

    phrases related to politics, legislation, and international affairs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification and categorization, particularly in a societal or systemic context

    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
     Leilan
    -0.50
     Io
    -0.50
     respectively
    -0.50
    $$$$
    -0.45
     Mara
    -0.45
    spin
    -0.44
     goodbye
    -0.42
     Abu
    -0.42
     Fitz
    -0.41
    代
    -0.40
    POSITIVE LOGITS
    issions
    0.60
    ibilities
    0.59
    ruct
    0.58
    Ĩ
    0.57
    ential
    0.57
    atures
    0.57
    itives
    0.56
    itionally
    0.56
    ensed
    0.56
    ework
    0.55
    Activations Density 0.389%

    No Known Activations