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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. 10-RES-JB
    6. 2493
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nodd
    -0.70
     boun
    -0.69
     strangers
    -0.69
     unlucky
    -0.68
     stranger
    -0.67
     stray
    -0.67
     predec
    -0.67
     stubborn
    -0.67
     manif
    -0.66
     passers
    -0.66
    POSITIVE LOGITS
     Includes
    1.20
     These
    1.18
     Additionally
    1.17
     Retrieved
    1.16
     Also
    1.07
     Specifically
    1.07
     NOTE
    1.06
     Such
    1.06
     Originally
    1.05
     Among
    1.02
    Activations Density 0.364%

    No Known Activations