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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. 8163
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    Explanations

    phrases related to communication and interpersonal interactions

    oai_token-act-pair · gpt-3.5-turbo
    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
     tram
    -0.70
    mercial
    -0.68
     commercial
    -0.65
     psychiat
    -0.64
     board
    -0.64
     subsid
    -0.62
     range
    -0.62
     vulner
    -0.61
     paved
    -0.61
     aerial
    -0.61
    POSITIVE LOGITS
    ¹
    1.38
    ľ
    1.33
    ª
    1.33
    ¡
    1.27
    Ķ
    1.24
    ´
    1.22
    ©
    1.21
    Ŀ
    1.20
    IJ
    1.18
    ¦
    1.18
    Activations Density 0.126%

    No Known Activations