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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. 4296
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    INDEX
    Explanations

    mentions of specific job titles and company names

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals associated with leadership and authoritative roles

    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
    isphere
    -0.81
     hay
    -0.79
    bilt
    -0.76
     Strongh
    -0.76
    rist
    -0.74
    adelphia
    -0.74
    rists
    -0.74
     Morty
    -0.72
     barn
    -0.72
    orth
    -0.70
    POSITIVE LOGITS
     Tu
    1.77
     Pu
    1.73
    Tu
    1.68
    Du
    1.65
     Du
    1.60
     Mu
    1.57
     Nu
    1.54
    Hu
    1.54
     Vu
    1.52
     Ku
    1.50
    Activations Density 0.322%

    No Known Activations