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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. 22650
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    Explanations

    names or titles of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and proper nouns

    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
    âĶĢâĶĢ
    -0.79
    LEASE
    -0.72
     Windsor
    -0.67
     Brittany
    -0.65
    sburgh
    -0.64
     Donna
    -0.64
     Michigan
    -0.63
     Wayne
    -0.62
     Nancy
    -0.62
     Nora
    -0.62
    POSITIVE LOGITS
    zynski
    1.02
    hai
    0.95
    iani
    0.94
    iman
    0.94
    hair
    0.94
    gaard
    0.93
    endi
    0.93
    ibaba
    0.92
    kil
    0.90
    inski
    0.90
    Activations Density 0.253%

    No Known Activations