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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 7125
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    oai_token-act-pair · gpt-3.5-turbo
    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
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    Negative Logits
    olyn
    -0.76
    lass
    -0.75
     outgoing
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     Franch
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     Lauder
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    atures
    -0.69
    sen
    -0.68
     ILCS
    -0.67
    si
    -0.66
    lie
    -0.64
    POSITIVE LOGITS
    geist
    0.82
    bench
    0.80
    keeper
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    ologies
    0.73
     visitor
    0.73
     frequ
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    osphere
    0.73
    izen
    0.73
     administrator
    0.72
    browser
    0.72
    Activations Density 0.042%

    No Known Activations