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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. 7265
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    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
     fingerprints
    -0.66
     wiser
    -0.64
    MpServer
    -0.60
     pse
    -0.59
    hesive
    -0.59
     Retrieved
    -0.57
     expended
    -0.57
     Genie
    -0.57
    cipline
    -0.56
     winner
    -0.56
    POSITIVE LOGITS
     period
    0.92
     periods
    0.90
    session
    0.80
    imester
    0.78
     downtime
    0.77
     holidays
    0.77
     trials
    0.76
     lull
    0.76
    trial
    0.75
     captcha
    0.75
    Activations Density 0.185%

    No Known Activations