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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to airline companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of airline companies and related flight content

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

    No Comments

    Negative Logits
    nered
    -0.78
    âĶĢâĶĢ
    -0.75
    liest
    -0.73
    ned
    -0.69
    ebook
    -0.68
    SPONSORED
    -0.67
    arist
    -0.67
    obj
    -0.67
    arios
    -0.66
    ãĤ½
    -0.65
    POSITIVE LOGITS
     Airlines
    1.13
     Plaza
    0.88
     Flight
    0.87
     Holdings
    0.85
    ports
    0.79
     Lounge
    0.79
     Services
    0.78
     Airport
    0.78
     Stores
    0.77
    Pass
    0.77
    Activations Density 0.022%

    No Known Activations