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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 24544
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    Explanations

    phrases related to research and studies

    oai_token-act-pair · gpt-3.5-turbo

    references to research institutions or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Garfield
    -0.70
    mpeg
    -0.66
    cele
    -0.66
     femin
    -0.65
    âĶĢâĶĢ
    -0.63
     mortals
    -0.63
    zzi
    -0.62
    FAULT
    -0.62
     gent
    -0.62
    åij
    -0.61
    POSITIVE LOGITS
     Laboratory
    0.96
     Laboratories
    0.93
     Advisor
    0.87
     Research
    0.87
     Scientist
    0.87
    research
    0.86
    Research
    0.85
     Advis
    0.84
     Institute
    0.83
     Analy
    0.81
    Activations Density 0.017%

    No Known Activations