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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. 6801
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    Explanations

    names of individuals often in a list format

    oai_token-act-pair · gpt-3.5-turbo

    proper names of individuals, particularly those in the entertainment industry

    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
    DragonMagazine
    -0.62
    Reviewer
    -0.58
    above
    -0.57
    BOOK
    -0.56
     Responsibility
    -0.56
     ascend
    -0.54
    =>
    -0.54
    TIME
    -0.53
    Priv
    -0.53
    Tokens
    -0.52
    POSITIVE LOGITS
     Cummings
    0.87
     Hayes
    0.85
     Amos
    0.82
     McK
    0.81
     Mann
    0.80
     Wagner
    0.80
     Rebell
    0.79
     Marino
    0.77
     Hann
    0.77
     Yar
    0.77
    Activations Density 0.256%

    No Known Activations