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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. 0-RES-JB
    6. 14127
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    Explanations

    mentions of school grades, especially emphasizing scores like grade 9 and grade 10

    oai_token-act-pair · gpt-3.5-turbo

    references to educational grades or performance levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nect
    -0.76
    Roaming
    -0.75
    aun
    -0.73
    immer
    -0.69
     Cele
    -0.65
     Events
    -0.64
    eston
    -0.63
     Reborn
    -0.63
    hots
    -0.62
    à¼
    -0.62
    POSITIVE LOGITS
     grade
    4.18
     Grade
    3.22
     grades
    2.94
    grade
    2.70
    Grade
    2.63
     grading
    2.12
     graded
    2.06
    grades
    1.45
     GPA
    1.44
    graded
    1.28
    Activations Density 0.016%

    No Known Activations