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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. 2936
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    INDEX
    Explanations

    information attributed to a source, such as studies, research, and professionals

    oai_token-act-pair · gpt-3.5-turbo

    references to studies and research findings

    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
    mop
    -0.74
    ItemThumbnailImage
    -0.72
    ItemImage
    -0.70
    estones
    -0.69
    Newsletter
    -0.69
    resp
    -0.68
    oya
    -0.68
     actionGroup
    -0.68
    served
    -0.68
    lycer
    -0.66
    POSITIVE LOGITS
     researchers
    0.91
     experts
    0.89
     scientists
    0.87
     economists
    0.84
     economist
    0.82
     study
    0.81
     research
    0.79
     campaigners
    0.77
     physicists
    0.77
     analysts
    0.76
    Activations Density 0.253%

    No Known Activations