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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. 4-RES-JB
    11. 18449
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    INDEX
    Explanations

    references to commercial content and marketing

    oai_token-act-pair · gpt-3.5-turbo

    mentions of commercials or advertisements

    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
    20439
    -0.81
    unin
    -0.80
    Jr
    -0.79
    itia
    -0.77
    artz
    -0.77
    gger
    -0.77
    ources
    -0.75
    essee
    -0.74
    ource
    -0.73
    etting
    -0.72
    POSITIVE LOGITS
    ization
    0.88
    vertising
    0.85
    ized
    0.84
    strip
    0.84
     airliner
    0.83
     broadcasting
    0.81
    Interstitial
    0.80
     interruption
    0.78
     commercials
    0.78
     advertising
    0.77
    Activations Density 0.013%

    No Known Activations