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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. 6-RES-JB
    6. 12839
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    Explanations

    mentions of specific regions or areas

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ertodd
    -1.02
    vous
    -0.97
    selage
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    --+
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    bats
    -0.81
    uden
    -0.80
    enment
    -0.77
    pload
    -0.76
    gerald
    -0.74
    cellent
    -0.74
    POSITIVE LOGITS
    ities
    0.95
    ized
    0.95
     offices
    0.89
    ization
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     parks
    0.86
     capitals
    0.85
    ised
    0.84
     governments
    0.84
     regions
    0.83
    izing
    0.82
    Activations Density 0.016%

    No Known Activations