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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14356
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    Explanations

    words related to the improvement or change of something

    oai_token-act-pair · gpt-3.5-turbo
    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
    pload
    -0.73
    hent
    -0.61
    oked
    -0.60
     plur
    -0.58
    cession
    -0.57
     parentheses
    -0.57
    imming
    -0.56
    written
    -0.56
    udicrous
    -0.55
    aring
    -0.55
    POSITIVE LOGITS
     during
    0.79
     since
    0.77
     when
    0.74
    dies
    0.69
    during
    0.69
    },"
    0.68
    Ĥİ
    0.65
     afterward
    0.64
    ingu
    0.62
     because
    0.62
    Activations Density 0.218%

    No Known Activations