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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. 0-RES-JB
    6. 8455
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    Explanations

    capitalized abbreviations with numbers at the end, possibly related to technical terms or codes

    oai_token-act-pair · gpt-3.5-turbo

    references to "ST" or related terms indicating a standard or systems terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mai
    -0.75
    omever
    -0.72
    ocument
    -0.69
    javascript
    -0.67
    âĢİ
    -0.66
    zai
    -0.66
    ajo
    -0.64
    cia
    -0.63
     compr
    -0.61
    dyl
    -0.60
    POSITIVE LOGITS
     ST
    3.56
    ST
    1.87
     STD
    1.69
     STA
    1.50
     STE
    1.37
     STR
    1.35
     ART
    1.34
     STL
    1.31
     St
    1.29
     SC
    1.29
    Activations Density 0.012%

    No Known Activations