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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. 11-RES-JB
    11. 1377
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    Explanations

    proper nouns related to various topics or areas, such as people's names, locations, and products

    oai_token-act-pair · gpt-3.5-turbo

    the word "as" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ople
    -0.75
    rous
    -0.72
    Reply
    -0.70
    isu
    -0.66
    trap
    -0.65
    olate
    -0.64
    rier
    -0.62
    LESS
    -0.62
    âĻ¥
    -0.61
    irement
    -0.61
    POSITIVE LOGITS
     well
    1.79
    well
    1.35
     Well
    0.96
     part
    0.87
     opposed
    0.80
     follows
    0.79
     wells
    0.78
    weeney
    0.77
     diverse
    0.76
    part
    0.76
    Activations Density 0.130%

    No Known Activations