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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 24101
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    Explanations

    mentions of awards and recognition

    oai_token-act-pair · gpt-3.5-turbo

    mentions of awards and nominations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anon
    -0.78
    Plan
    -0.76
    rises
    -0.73
    clone
    -0.72
    strike
    -0.72
    ilit
    -0.69
    grow
    -0.67
    quit
    -0.67
     uninsured
    -0.66
     è£ıè
    -0.66
    POSITIVE LOGITS
     awards
    1.93
     award
    1.82
     Awards
    1.81
     nominations
    1.78
     nominees
    1.68
     Award
    1.66
     Oscars
    1.62
     awarding
    1.53
     winners
    1.47
     nominated
    1.46
    Activations Density 0.327%

    No Known Activations