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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. 0-RES-JB
    11. 14772
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    Explanations

    studies or research related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to academic studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hed
    -0.68
    etheless
    -0.66
     (#
    -0.64
    Edge
    -0.64
    gd
    -0.63
     Dynam
    -0.62
    strings
    -0.62
    iced
    -0.62
    ames
    -0.61
    liners
    -0.61
    POSITIVE LOGITS
     study
    3.64
     Study
    2.84
    study
    2.82
    Study
    2.66
     studies
    2.20
     studied
    1.85
     studying
    1.82
     survey
    1.80
     research
    1.71
    Studies
    1.70
    Activations Density 0.024%

    No Known Activations