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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. 1-RES-JB
    6. 20009
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    Explanations

    mentions of urban development and changes in a neighborhood

    oai_token-act-pair · gpt-3.5-turbo

    the word "are" indicating existence or presence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iates
    -0.63
    urry
    -0.63
    ossom
    -0.61
    iture
    -0.58
    ð
    -0.56
     dismant
    -0.56
    ises
    -0.56
    ipop
    -0.56
     viz
    -0.55
    osate
    -0.55
    POSITIVE LOGITS
    senal
    1.11
    wolves
    1.04
    wolf
    0.93
     hereby
    0.88
    nt
    0.79
     gonna
    0.76
     supposed
    0.72
     not
    0.72
     definitely
    0.71
     generally
    0.70
    Activations Density 0.304%

    No Known Activations