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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. 6882
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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
    imester
    -0.92
    terms
    -0.81
    iasco
    -0.81
    omics
    -0.74
    oshop
    -0.74
    ifestyle
    -0.70
    rates
    -0.68
    oland
    -0.67
    conom
    -0.66
    Rating
    -0.66
    POSITIVE LOGITS
     silhou
    1.27
     brightly
    1.09
     unmarked
    1.05
     faint
    1.05
     stationary
    1.03
     flickering
    1.02
     tents
    1.02
     empty
    1.01
     silhouette
    1.01
     blinking
    0.98
    Activations Density 0.599%

    No Known Activations