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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. 5682
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    Explanations

    mentions of educational achievement or graduation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating graduation and educational background

    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
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    No Comments

    Negative Logits
    éĹĺ
    -0.79
    acet
    -0.76
    ãĤª
    -0.75
    catentry
    -0.75
    ãĥ¼ãĥ³
    -0.73
    ãĥīãĥ©ãĤ´ãĥ³
    -0.73
    metadata
    -0.72
    pread
    -0.72
    coins
    -0.72
    posts
    -0.71
    POSITIVE LOGITS
     Yale
    1.48
     Harvard
    1.45
     university
    1.45
     Georgetown
    1.44
     Princeton
    1.42
     University
    1.42
     NYU
    1.40
     Rutgers
    1.39
     colleges
    1.38
     college
    1.36
    Activations Density 0.168%

    No Known Activations