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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 13565
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    Explanations

    terms related to different kinds of content production like journalism, music, clothing, and food

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of content, especially regarding media regulation and quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    hift
    -0.77
    verning
    -0.65
    ghazi
    -0.62
    onder
    -0.59
    onym
    -0.56
    enge
    -0.56
     Contrast
    -0.55
    itte
    -0.55
     Appeal
    -0.55
     tire
    -0.55
    POSITIVE LOGITS
    flows
    1.10
     flows
    0.83
    pieces
    0.83
    clips
    0.77
     installations
    0.76
     blends
    0.75
    falls
    0.75
    fights
    0.73
     cues
    0.73
     imaginable
    0.72
    Activations Density 0.543%

    No Known Activations