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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. 5-RES-JB
    6. 19387
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    Explanations

    specific names or terms associated with individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns referring to individuals or specific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     dens
    -0.67
     recomb
    -0.67
     dawn
    -0.64
     crim
    -0.59
      
    -0.58
     converge
    -0.56
     conserv
    -0.56
    ymm
    -0.54
     Prof
    -0.54
     Migration
    -0.54
    POSITIVE LOGITS
    's
    0.73
     himself
    0.73
    orst
    0.72
    tsy
    0.72
    hyde
    0.70
    ouf
    0.70
    kowski
    0.70
     accuser
    0.69
    neau
    0.68
    kson
    0.67
    Activations Density 0.271%

    No Known Activations