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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. 9645
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    Explanations

    mentions of UCLA

    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
    odic
    -0.93
    ote
    -0.77
    ocene
    -0.75
    */(
    -0.74
    anty
    -0.72
    ãĥĥãĥĪ
    -0.69
    cycles
    -0.68
    ellation
    -0.68
    ravings
    -0.68
    lets
    -0.68
    POSITIVE LOGITS
     Bruins
    1.00
    ITY
    0.87
    IFIED
    0.87
     UCLA
    0.86
     Graduate
    0.79
     Mutual
    0.78
    Stud
    0.76
     STUD
    0.75
    University
    0.74
    CLA
    0.73
    Activations Density 0.043%

    No Known Activations