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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3830
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    Explanations

    quotations and direct speech

    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
     neocons
    -0.87
     favoring
    -0.82
     favorably
    -0.82
     nutshell
    -0.80
     egreg
    -0.79
     willfully
    -0.79
     leverage
    -0.77
     aligned
    -0.76
     honoring
    -0.75
     preempt
    -0.74
    POSITIVE LOGITS
    Parents
    0.98
    Police
    0.98
     apologised
    0.95
    However
    0.94
    Girls
    0.93
    Investigators
    0.93
    Coun
    0.93
    Doctors
    0.92
    Shape
    0.91
    Researchers
    0.90
    Activations Density 0.500%

    No Known Activations