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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. 7-RES-JB
    6. 16747
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    Explanations

    prepositions indicating spatial or conceptual relationships

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating relationships or positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NES
    -0.79
    çͰ
    -0.77
    ãĤ¢ãĥ«
    -0.76
    chell
    -0.73
    ãĥĪ
    -0.73
    âĸij
    -0.71
    RAG
    -0.70
    é¾įåĸļ士
    -0.68
    ovo
    -0.67
    ãĤ«
    -0.66
    POSITIVE LOGITS
     various
    0.88
     behalf
    0.78
     unsuspecting
    0.78
     selectively
    0.75
     helpless
    0.73
     afar
    0.71
     disparate
    0.71
     oneself
    0.68
     different
    0.68
     disbel
    0.67
    Activations Density 0.547%

    No Known Activations