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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. 5312
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    Explanations

    mentions of when something was first reported or created

    oai_token-act-pair · gpt-3.5-turbo
    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
     Canaver
    -0.66
     Gould
    -0.64
    sav
    -0.62
     SOM
    -0.62
    ourge
    -0.61
    urgy
    -0.60
    antics
    -0.59
     Doomsday
    -0.58
    vor
    -0.57
    âĹ¼
    -0.56
    POSITIVE LOGITS
     baseman
    1.22
     responders
    1.18
     blush
    0.90
     glance
    0.89
    ly
    0.75
    arthed
    0.70
     lady
    0.70
    ially
    0.69
    ebin
    0.68
     impressions
    0.68
    Activations Density 0.055%

    No Known Activations