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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. 6439
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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
     fug
    -0.74
    ropri
    -0.71
     Alz
    -0.70
     insol
    -0.68
     manslaughter
    -0.68
    EH
    -0.68
     realism
    -0.66
     Quart
    -0.65
     Shell
    -0.65
     Goddard
    -0.64
    POSITIVE LOGITS
    hip
    1.14
    hips
    0.95
    hare
    0.91
    Tweet
    0.87
    ularity
    0.84
    Reviewer
    0.84
    cats
    0.83
     Likes
    0.81
    iences
    0.81
    pages
    0.81
    Activations Density 0.185%

    No Known Activations