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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. 7-RES-JB
    11. 9641
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    Explanations

    names of movies, books, or TV shows

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.73
    .'"
    -0.68
    %.
    -0.63
    ãĢĤ
    -0.63
    .).
    -0.62
    '."
    -0.60
    .''.
    -0.59
     alike
    -0.57
    '.
    -0.56
    }.
    -0.56
    POSITIVE LOGITS
    iest
    0.79
    liest
    0.70
     version
    0.64
     aspect
    0.62
    osphere
    0.60
     playbook
    0.58
     side
    0.57
     edition
    0.56
     portion
    0.56
    ottest
    0.53
    Activations Density 0.929%

    No Known Activations