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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. 4-RES-JB
    11. 7890
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    Explanations

    references to academic education levels, particularly "graduate" studies

    oai_token-act-pair · gpt-3.5-turbo

    references to graduate studies and programs

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

    No Comments

    Negative Logits
    apo
    -0.84
    eger
    -0.78
    */(
    -0.74
     constitu
    -0.69
    rw
    -0.67
    66666666
    -0.65
    orius
    -0.65
    BOOK
    -0.64
     compr
    -0.63
    Ö¼
    -0.63
    POSITIVE LOGITS
    uates
    0.88
     student
    0.87
     Student
    0.81
    ploma
    0.81
     tuition
    0.78
    interstitial
    0.77
    student
    0.77
     students
    0.77
    graduate
    0.75
    uations
    0.75
    Activations Density 0.010%

    No Known Activations