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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. 8-RES-JB
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    Explanations

    the word "Metropolitan" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Metropolitan" and its related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kick
    -0.84
    ider
    -0.81
    cius
    -0.78
    err
    -0.75
    ices
    -0.72
    etsk
    -0.72
    edin
    -0.71
    eat
    -0.71
    enes
    -0.70
    posts
    -0.69
    POSITIVE LOGITS
    ropolitan
    1.01
     Statistical
    1.01
     Metropolitan
    0.85
     Borough
    0.85
     oun
    0.82
     Manila
    0.79
     Institution
    0.79
     Transportation
    0.79
     Municip
    0.77
     Mellon
    0.75
    Activations Density 0.030%

    No Known Activations