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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. 1933
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    Explanations

    mentions of mythical creatures or celestial beings like angels and dragons

    oai_token-act-pair · gpt-3.5-turbo

    references to angels and dragons

    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
     Trend
    -0.85
    Union
    -0.81
     Yards
    -0.81
    chens
    -0.81
     Soda
    -0.80
    Ô
    -0.74
    APD
    -0.74
     Uniform
    -0.74
     Opportun
    -0.73
     Firearms
    -0.72
    POSITIVE LOGITS
     swoop
    0.97
     angels
    0.94
     angel
    0.89
     exorc
    0.82
    osaurs
    0.81
    orc
    0.81
     knight
    0.80
     choir
    0.80
     messenger
    0.80
     owl
    0.79
    Activations Density 0.019%

    No Known Activations