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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. 0-RES-JB
    11. 4831
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    Explanations

    references to a classroom setting

    oai_token-act-pair · gpt-3.5-turbo

    references to classrooms and classroom-related contexts

    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
     Ov
    -0.65
    Ins
    -0.63
    ios
    -0.63
     Ost
    -0.61
    Coin
    -0.60
    kos
    -0.59
    Cro
    -0.59
    coin
    -0.58
     Ins
    -0.57
    roy
    -0.57
    POSITIVE LOGITS
     classroom
    3.63
     classrooms
    2.73
     curriculum
    1.82
     teacher
    1.72
     courtroom
    1.59
     educators
    1.57
     textbooks
    1.56
     teaching
    1.55
     curric
    1.53
     kindergarten
    1.50
    Activations Density 0.013%

    No Known Activations