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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. 10-RES-JB
    6. 1568
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    Explanations

    phrases related to numerical values and categories related to quantity, plurality, or categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political or structural frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    76561
    -0.70
    urga
    -0.68
    latest
    -0.65
     anew
    -0.64
    ibaba
    -0.64
    heit
    -0.64
    ename
    -0.63
    ETA
    -0.63
    wolves
    -0.63
    \<
    -0.60
    POSITIVE LOGITS
     configurations
    0.97
    imensional
    0.95
     setups
    0.83
     configuration
    0.77
     SLI
    0.74
    edly
    0.73
     affair
    0.73
     arrangement
    0.70
     occupancy
    0.70
    âĦ¢:
    0.69
    Activations Density 0.159%

    No Known Activations