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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. 9-RES-JB
    11. 2373
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    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
    andise
    -0.72
    ework
    -0.70
    thumbnails
    -0.68
    ulpt
    -0.67
    Cause
    -0.66
    Tokens
    -0.63
    allo
    -0.63
    metic
    -0.62
    direction
    -0.62
    ADRA
    -0.62
    POSITIVE LOGITS
     Anonymous
    0.82
     Cindy
    0.78
     Cath
    0.77
     Guest
    0.76
     Roose
    0.76
     Titus
    0.73
     Juan
    0.70
     Jeffrey
    0.69
     Paw
    0.69
     Patrick
    0.69
    Activations Density 0.038%

    No Known Activations