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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. 2426
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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
    apple
    -0.84
    ²¾
    -0.79
    ĪĴ
    -0.77
    Dispatch
    -0.74
    ĺħ
    -0.68
    aque
    -0.68
    hift
    -0.68
    andro
    -0.68
    Ĥİ
    -0.68
    andre
    -0.67
    POSITIVE LOGITS
     banker
    1.16
     bankers
    1.04
     Banking
    0.93
     portfolios
    0.89
     investment
    0.86
    itures
    0.86
     fund
    0.85
     banking
    0.83
     portfolio
    0.83
     investor
    0.82
    Activations Density 0.045%

    No Known Activations