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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. 12-RES-JB
    11. 2455
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    Explanations

    specific educational grades mentioned, particularly in the format "grade X" or "grade X point X"

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to academic grades

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    eers
    -0.78
    iability
    -0.69
    oÄŁ
    -0.66
    LOS
    -0.66
     Bundy
    -0.63
    ial
    -0.62
    estern
    -0.62
    icative
    -0.62
    Timeout
    -0.61
    Thumbnail
    -0.61
    POSITIVE LOGITS
    school
    0.87
     school
    0.84
    School
    0.79
     kindergarten
    0.79
     School
    0.78
     SCHOOL
    0.78
     schools
    0.76
     grades
    0.73
     Schools
    0.73
     IX
    0.71
    Activations Density 0.023%

    No Known Activations