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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. 9-RES-JB
    11. 2811
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    Explanations

    references to software updates and availability of services to users

    oai_token-act-pair · gpt-3.5-turbo

    references to availability and access of services or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agy
    -0.79
    xtap
    -0.72
    angelo
    -0.72
    agher
    -0.71
    onsequ
    -0.70
    spirit
    -0.70
    itsch
    -0.70
    ortex
    -0.69
    ipedia
    -0.68
     Madness
    -0.68
    POSITIVE LOGITS
     applicants
    1.42
     subscribers
    1.38
     households
    1.36
     businesses
    1.33
     retailers
    1.32
     employers
    1.30
     customers
    1.29
     consumers
    1.27
     users
    1.27
     colleges
    1.24
    Activations Density 1.240%

    No Known Activations