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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. 6-RES-JB
    6. 16794
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    Explanations

    references to authors, publications, and research studies

    oai_token-act-pair · gpt-3.5-turbo

    references to academic authors and their works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     revenge
    -0.94
     Rebels
    -0.85
     franchise
    -0.79
    venge
    -0.75
    swing
    -0.75
     Salvation
    -0.75
     retaliate
    -0.74
     lockout
    -0.73
     Franchise
    -0.71
     grievance
    -0.69
    POSITIVE LOGITS
    âĢIJ
    1.04
     et
    1.01
     resear
    0.94
     researchers
    0.93
    earcher
    0.92
    uscript
    0.92
    Study
    0.90
     studies
    0.88
     doctoral
    0.88
     PhD
    0.86
    Activations Density 0.373%

    No Known Activations