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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. 10-RES-JB
    11. 2800
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    Explanations

    terms related to various specific topics, such as genetics, tax reform, literacy, solar power, and more

    oai_token-act-pair · gpt-3.5-turbo

    specific terms and concepts related to policies, societal issues, and tangible outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.75
    MpServer
    -0.52
    lopp
    -0.51
    ãĥ¼ãĥĨãĤ£
    -0.50
    ļé
    -0.48
    generic
    -0.48
    itely
    -0.48
    osite
    -0.47
    reenshot
    -0.47
     colourful
    -0.46
    POSITIVE LOGITS
     and
    1.04
     etc
    1.04
    .;
    1.01
    *.
    1.01
    .
    1.00
    .[
    0.98
    .*
    0.97
    ;
    0.97
    .</
    0.93
    _.
    0.91
    Activations Density 0.695%

    No Known Activations