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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. 5956
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    comparative phrases indicating a multiple increase

    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
    âī
    -0.68
    Mand
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    OY
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    dump
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    CVE
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    uly
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    ":"/
    -0.63
    BIT
    -0.62
    Community
    -0.60
    blogs
    -0.60
    POSITIVE LOGITS
     than
    0.89
     Than
    0.77
     per
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    ngth
    0.71
    illion
    0.68
    than
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     compared
    0.67
     diameter
    0.67
     (£
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     average
    0.64
    Activations Density 0.115%

    No Known Activations