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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. 9-RES-JB
    6. 21446
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     meg
    -0.56
    idth
    -0.55
    atever
    -0.55
    mare
    -0.54
     odds
    -0.52
     seriousness
    -0.51
     multinational
    -0.51
    tons
    -0.51
    tan
    -0.50
     NCT
    -0.50
    POSITIVE LOGITS
     from
    1.01
     via
    1.00
     through
    0.93
     during
    0.93
    from
    0.83
     anecd
    0.83
     by
    0.83
     anonymously
    0.80
     FROM
    0.78
    iasco
    0.77
    Activations Density 0.202%

    No Known Activations