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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. 5220
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    Explanations

    mentions of specific pipeline projects

    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
    enance
    -0.78
    ews
    -0.73
    itate
    -0.73
    usc
    -0.72
    abilia
    -0.71
     Acer
    -0.70
     Schwarz
    -0.67
    doms
    -0.67
    oice
    -0.67
    orian
    -0.66
    POSITIVE LOGITS
     route
    0.85
     pipeline
    0.85
     pipelines
    0.85
     routes
    0.80
     transporting
    0.80
     rupt
    0.78
     bottleneck
    0.78
     XL
    0.78
     conduit
    0.78
     connecting
    0.77
    Activations Density 0.039%

    No Known Activations