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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. 8654
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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
     Canaver
    -0.77
     Wiki
    -0.60
     Heller
    -0.55
     Administrator
    -0.52
     Sturgeon
    -0.52
     Fram
    -0.50
     Doct
    -0.50
     roadmap
    -0.50
     Reconstruction
    -0.49
     KD
    -0.49
    POSITIVE LOGITS
    xual
    0.73
    )."
    0.71
    ]."
    0.69
    .</
    0.69
    ļéĨĴ
    0.67
    mun
    0.65
    daq
    0.63
    ."[
    0.62
    arious
    0.62
    iably
    0.62
    Activations Density 1.165%

    No Known Activations