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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. 15803
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    Explanations

    academic references and names of scholars, professors, authors, and economists

    oai_token-act-pair · gpt-3.5-turbo

    references to scholarly work and authors

    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
    SPA
    -0.79
    cffffcc
    -0.73
     sidx
    -0.73
    Interstitial
    -0.72
    Login
    -0.70
    ilant
    -0.69
    door
    -0.69
    Patch
    -0.69
    Desktop
    -0.68
    ttes
    -0.67
    POSITIVE LOGITS
     Jeffrey
    1.46
     Judith
    1.42
     Kenneth
    1.41
     Geoffrey
    1.37
     Steven
    1.35
     Naomi
    1.35
     Nicholas
    1.33
     Christopher
    1.33
     Robert
    1.32
     Lawrence
    1.32
    Activations Density 0.282%

    No Known Activations