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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. 2-RES-JB
    11. 653
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    Explanations

    the word "Elementary" particularly in the context of schools

    oai_token-act-pair · gpt-4-turbo

    references to different elementary or unified schools

    oai_token-act-pair · gpt-3.5-turbo

    references to elementary schools and educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aunder
    -0.79
    ushes
    -0.78
    abol
    -0.78
    auts
    -0.77
    arian
    -0.75
    76561
    -0.74
    holes
    -0.74
    atted
    -0.73
    uku
    -0.72
    articles
    -0.72
    POSITIVE LOGITS
     Elementary
    1.16
     School
    0.99
     Tribal
    0.92
     Oversight
    0.88
     Rating
    0.84
    Grade
    0.82
     Schools
    0.82
     Disabled
    0.81
     Improvement
    0.81
     Patrol
    0.81
    Activations Density 0.015%

    No Known Activations