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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. 8193
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    Explanations

    phrases related to comparisons between different entities or concepts

    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
    escription
    -0.97
    chnology
    -0.71
    oval
    -0.64
     Ended
    -0.64
    isure
    -0.63
     behalf
    -0.63
    prise
    -0.63
    mire
    -0.62
    lift
    -0.62
    encia
    -0.62
    POSITIVE LOGITS
     except
    1.04
     albeit
    0.96
     although
    0.86
     insofar
    0.85
     but
    0.84
    though
    0.80
     nor
    0.80
    but
    0.78
    although
    0.77
     though
    0.74
    Activations Density 0.300%

    No Known Activations