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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. 14593
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    Explanations

    words related to social issues and interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to societal issues and community-related themes

    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
     UNCLASSIFIED
    -0.79
    SOURCE
    -0.77
     Ibid
    -0.74
    )",
    -0.71
    orno
    -0.69
    Published
    -0.69
    Reference
    -0.69
    Journal
    -0.66
     Prohibition
    -0.65
     constitu
    -0.63
    POSITIVE LOGITS
    juries
    0.84
    ESPN
    0.78
     offseason
    0.71
     bolted
    0.70
    jury
    0.70
     Stadium
    0.69
    jured
    0.69
     Sports
    0.69
     ankle
    0.68
     athlet
    0.68
    Activations Density 1.077%

    No Known Activations