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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. 4337
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    Explanations

    dates, numbers, and specific keywords related to various topics such as sports, academia, food, and events

    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
    .")
    -0.84
    '."
    -0.73
    )."
    -0.70
    .'"
    -0.68
    âĢ¦."
    -0.68
    ]."
    -0.65
    âĢ¦"
    -0.62
    )].
    -0.61
    ..."
    -0.61
     legitimately
    -0.61
    POSITIVE LOGITS
     âĵĺ
    0.78
     Description
    0.76
     Dept
    0.70
     Date
    0.70
     Edition
    0.69
     Variant
    0.68
     Retrieved
    0.68
    Joined
    0.68
     Poster
    0.68
     Version
    0.67
    Activations Density 0.759%

    No Known Activations