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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. 9-RES-JB
    6. 4494
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    INDEX
    Explanations

    proper nouns, specifically names of locations, organizations, and job titles

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ownership or association

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accordingly
    -0.96
     thereafter
    -0.88
     thereof
    -0.86
     thereto
    -0.82
    /,
    -0.81
    *.
    -0.80
     whereas
    -0.79
    ãĢĤ
    -0.78
    +.
    -0.77
     therein
    -0.76
    POSITIVE LOGITS
     Massachusetts
    0.79
     embattled
    0.78
     Melbourne
    0.77
     Pennsylvania
    0.77
     Alabama
    0.76
     Georgia
    0.75
     Malaysian
    0.74
     Oklahoma
    0.73
     Palestinian
    0.73
     Florida
    0.73
    Activations Density 0.403%

    No Known Activations