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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. 7-RES-JB
    6. 3123
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    Explanations

    mentions of advocacy or support for a specific political figure

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mare
    -0.67
     vom
    -0.61
    Strange
    -0.59
    upon
    -0.59
    ofi
    -0.59
    orically
    -0.58
     jaws
    -0.56
    BUS
    -0.55
    BR
    -0.55
    myra
    -0.54
    POSITIVE LOGITS
    bidden
    1.28
    gotten
    1.14
    ked
    1.12
     example
    1.08
    geries
    1.07
     instance
    1.05
     hire
    0.97
    gery
    0.96
     sale
    0.91
    ges
    0.91
    Activations Density 0.216%

    No Known Activations