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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. 12-RES-JB
    6. 4129
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    Explanations

    descriptions related to groups of people based on characteristics such as race, gender, and political affiliation

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to groups and identities, particularly those associated with demographics and social affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ļéĨĴ
    -0.88
    ¿½
    -0.84
    ãĤ´ãĥ³
    -0.78
    iHUD
    -0.76
    ãĥĥãĥī
    -0.75
    tains
    -0.73
    ø
    -0.72
    ý
    -0.72
    ù
    -0.71
    Đ
    -0.71
    POSITIVE LOGITS
     deserve
    1.35
     aren
    1.21
     adore
    1.15
     despise
    1.14
     ARE
    1.11
     know
    1.10
     love
    1.09
     weren
    1.09
     hate
    1.08
     seem
    1.07
    Activations Density 0.570%

    No Known Activations