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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. 9-RES-JB
    11. 6903
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    Explanations

    phrases related to the main themes or subjects of the text, focusing on key ideas and concepts

    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
    hare
    -0.77
    ¢
    -0.75
    aris
    -0.72
    Else
    -0.70
    itton
    -0.70
    emale
    -0.69
    Bind
    -0.67
    awk
    -0.63
    ordes
    -0.63
    orge
    -0.63
    POSITIVE LOGITS
     about
    1.74
    about
    1.70
     About
    1.54
     ABOUT
    1.54
    About
    1.33
     regarding
    1.07
    abouts
    1.01
     concerning
    0.94
     Regarding
    0.87
    Regarding
    0.85
    Activations Density 0.271%

    No Known Activations